PhD Chapter 1 - PatchSize
Emanuele Giacomuzzo
2023-12-10 10:45
Somewhere there’s analysis small and large patches special
## [1] "!! high !! (this document showcases only the analysis done for the high disturbance)"Design
Parameters
# R markdown
start_time = Sys.time()
knitr::opts_chunk$set(message = FALSE,
cache = FALSE,
autodep = FALSE)
recompute_lengthy_analyses = FALSE #Lengthy analyses have been suppressed. Set recompute_analyses = TRUE to redo them. # Disturbance & resource flows
disturbance_levels = c("low", "high")
n_disturbance_levels = length(disturbance_levels)
resource_flow_days = c(5, 9, 13, 17, 21, 25)
first_resource_flow = resource_flow_days[1]# Sampling
total_frames = 125
volume_recorded_μl = 34.4
time_points = 0:7
time_points_without_t0 = 1:7
time_point_names = c("t0", "t1", "t2", "t3", "t4", "t5", "t6", "t7")
sampling_days = c(0, 4, 8, 12, 16, 20, 24, 28)
first_time_point = 0
last_time_point = length(sampling_days) - 1
n_time_points = last_time_point + 1
nr_videos = c(12, 1, 1, 1, 1, 1, 2, 2) #Videos taken for each time point for each culture. At t0 we took 12 videos of the large bottle from which we started the cultures. Write why 2 at the end.
videos_taken = data.frame(time_point = 0 : 7,
nr_videos = c(12, 1, 1, 1, 1, 1, 2, 2))
n_videos_taken_t0 = nr_videos[1]
time_point_day = data.frame(
time_point = first_time_point:last_time_point,
day = sampling_days,
video_replicates = nr_videos
)
videos_to_take_off = data.frame(culture_ID = NA,
time_point = NA,
file = NA) %>%
add_row(culture_ID = 137-110, time_point = 7, file = 137) %>%
slice(-1)
n_cultures = 110
total_number_of_video_rows = sum(nr_videos * n_cultures)# Protists
protist_species = c("Ble", "Cep", "Col", "Eug", "Eup", "Lox", "Pau", "Pca", "Spi", "Spi_te", "Tet")
protist_species_indiv_per_volume = paste0(protist_species, "_indiv_per_volume")
protist_species_indiv_per_ml = paste0(protist_species, "_indiv_per_ml")
protist_species_dominance = paste0(protist_species_indiv_per_ml, "_dominance")
protist_species_total = paste0(protist_species, "_tot_indiv")
n_protist_species = length(protist_species)
first_protist = protist_species[1]
last_protist = protist_species[n_protist_species]
species_IDD_with_13_threshold = c("Col", "Eug", "Eup", "Lox", "Pau", "Pca", "Spi_te", "Tet")
species_IDD_with_13_threshold_indiv_per_volume = paste0(species_IDD_with_13_threshold, "_indiv_per_volume")
species_IDD_with_40_threshold = c("Ble", "Cep", "Spi")
species_IDD_with_40_threshold_indiv_per_volume = paste0(species_IDD_with_40_threshold, "_indiv_per_volume")# Patches
patches_to_take_off = 60 #Culture ID = 60 as it was spilled (small isolated, high disturbance, system nr = 40)
culture_info = read.csv(here("data", "culture_info.csv"), header = TRUE)
columns_patches = c("time_point",
"day",
"culture_ID",
"system_nr",
"disturbance",
"patch_type",
"patch_size",
"patch_size_ml",
"size_connected_patch",
"metaecosystem",
"metaecosystem_type")
columns_treatments = columns_patches[!columns_patches %in% c("system_nr", "culture_ID")]
variables_patches = c("bioarea_mm2_per_ml",
"bioarea_tot_mm2",
"indiv_per_ml",
"indiv_tot",
"species_richness",
"shannon",
"simpson",
"inv_simpson",
"evenness_pielou",
"median_body_area_µm2",
paste0(protist_species, "_indiv_per_ml"),
paste0(protist_species, "_tot_indiv"),
paste0(protist_species_indiv_per_ml, "_dominance"))
baseline_columns = paste0("baseline_", variables_patches)
patch_types_ordered = c("Small isolated",
"Small connected to small",
"Small connected to large",
"Medium isolated",
"Medium connected to medium",
"Large isolated",
"Large connected to large",
"Large connected to small")
treatments_and_controls = data.frame(
treatment = c(
"Small connected to small",
"Small connected to large",
"Medium connected to medium",
"Large connected to large",
"Large connected to small"
),
control = c(
"Small isolated",
"Small isolated",
"Medium isolated",
"Large isolated",
"Large isolated"
)
)
n_treatments = length(unique(treatments_and_controls$treatment))
n_controls = length(unique(treatments_and_controls$control))
n_replicates = 5
n_patch_types = 8# Size classes
n_size_classes = 12
columns_classes = c(columns_patches,
"size_class_n",
"mean_class_area_µm2")# Meta-ecosystems
metaecosystems_to_take_off = culture_info %>%
filter(culture_ID %in% patches_to_take_off) %>%
pull(system_nr) %>%
unique
system_nr_metaecosystems = culture_info %>%
filter(metaecosystem == "yes") %>%
pull(system_nr) %>%
unique
n_metaecosystems = length(system_nr_metaecosystems)
variables_metaecos = c(
"total_metaecosystem_bioarea_mm2",
"jaccard_index",
"bray_curtis",
"beta_spatial_turnover",
"beta_nestedness",
"beta_total",
"metaecosystem_richness")
metaecosystem_types_ordered = c(
"Small-Small meta-ecosystem",
"Medium-Medium meta-ecosystem",
"Medium-Medium isolated",
"Large-Large meta-ecosystem",
"Small-Large meta-ecosystem",
"Small-Large isolated")# Plotting
axis_names = data.frame(variable = NA,
axis_name= NA) %>%
add_row(variable = "day", axis_name = "Time (day)") %>%
add_row(variable = "patch_size_ml", axis_name = "Patch size (ml)") %>%
add_row(variable = "log_size_class", axis_name = "Log size (μm2)") %>%
add_row(variable = "class_indiv_per_µl", axis_name = "Density (ind/ml)") %>%
add_row(variable = "bioarea_mm2_per_ml", axis_name = "Bioarea density (mm²/ml)") %>%
add_row(variable = "bioarea_mm2_per_ml_d", axis_name = "Bioarea Density ES") %>%
add_row(variable = "bioarea_tot", axis_name = "Tot Bioarea (mm²)") %>%
add_row(variable = "total_metaecosystem_bioarea_mm2", axis_name = "Tot Bioarea (mm²)") %>%
add_row(variable = "species_richness", axis_name = "Species Richness") %>%
add_row(variable = "species_richness_d", axis_name = "Species Richness ES") %>%
add_row(variable = "mean_richness", axis_name = "mean α Diversity (Shannon)") %>%
add_row(variable = "mean_shannon", axis_name = "mean α Diversity (Shannon)") %>%
add_row(variable = "shannon", axis_name = "Biodiversity (Shannon)") %>%
add_row(variable = "shannon_d", axis_name = "Biodiversity ES (Shannon ES)") %>%
add_row(variable = "bray_curtis", axis_name = "β Diversity (Bray-Curtis)") %>%
add_row(variable = "beta_spatial_turnover", axis_name = "Turn over (Simpson pair-wise dissimilarity)") %>%
add_row(variable = "beta_nestedness", axis_name = "Nestedness (nestedness-fraction of Sorensen)") %>%
add_row(variable = "beta_total", axis_name = "Tot β Diversity (Sorensen)") %>%
add_row(variable = "metaecosystem_richness", axis_name = "γ Diversity (Species Richness)") %>%
add_row(variable = "indiv_per_ml", axis_name = "Abundance (ind/ml)") %>%
add_row(variable = "indiv_per_ml_d", axis_name = "Abundance ES") %>%
add_row(variable = "median_body_area_µm2", axis_name = "Median body size (µm²)") %>%
add_row(variable = "median_body_area_µm2_d", axis_name = "Median Body Size ES") %>%
add_row(variable = "Ble_indiv_per_ml", axis_name = "Ble Density (ind/ml)") %>%
add_row(variable = "Cep_indiv_per_ml", axis_name = "Cep Density (ind/ml)") %>%
add_row(variable = "Col_indiv_per_ml", axis_name = "Col Density (ind/ml)") %>%
add_row(variable = "Eug_indiv_per_ml", axis_name = "Eug Density (ind/ml)") %>%
add_row(variable = "Eup_indiv_per_ml", axis_name = "Eup Density (ind/ml)") %>%
add_row(variable = "Lox_indiv_per_ml", axis_name = "Lox Density (ind/ml)") %>%
add_row(variable = "Pau_indiv_per_ml", axis_name = "Pau Density (ind/ml)") %>%
add_row(variable = "Pca_indiv_per_ml", axis_name = "Pca Density (ind/ml)") %>%
add_row(variable = "Spi_indiv_per_ml", axis_name = "Spi Density (ind/ml)") %>%
add_row(variable = "Spi_te_indiv_per_ml", axis_name = "Spi te Density (ind/ml)") %>%
add_row(variable = "Tet_indiv_per_ml", axis_name = "Tet Density (ind/ml)") %>%
add_row(variable = "Ble_indiv_per_ml_d", axis_name = "Ble Density ES") %>%
add_row(variable = "Cep_indiv_per_ml_d", axis_name = "Cep Density ES") %>%
add_row(variable = "Col_indiv_per_ml_d", axis_name = "Col Density ES") %>%
add_row(variable = "Eug_indiv_per_ml_d", axis_name = "Eug Density ES") %>%
add_row(variable = "Eup_indiv_per_ml_d", axis_name = "Eup Density ES") %>%
add_row(variable = "Lox_indiv_per_ml_d", axis_name = "Lox Density ES") %>%
add_row(variable = "Pau_indiv_per_ml_d", axis_name = "Pau Density ES") %>%
add_row(variable = "Pca_indiv_per_ml_d", axis_name = "Pca Density ES") %>%
add_row(variable = "Spi_indiv_per_ml_d", axis_name = "Spi Density ES") %>%
add_row(variable = "Spi_te_indiv_per_ml_d", axis_name = "Spi te Density ES") %>%
add_row(variable = "Tet_indiv_per_ml_d", axis_name = "Tet Density ES") %>%
add_row(variable = "Ble_indiv_per_ml_dominance", axis_name = "Ble Dominance (%)") %>%
add_row(variable = "Cep_indiv_per_ml_dominance", axis_name = "Cep Dominance (%)") %>%
add_row(variable = "Col_indiv_per_ml_dominance", axis_name = "Col Dominance (%)") %>%
add_row(variable = "Eug_indiv_per_ml_dominance", axis_name = "Eug Dominance (%)") %>%
add_row(variable = "Eup_indiv_per_ml_dominance", axis_name = "Eup Dominance (%)") %>%
add_row(variable = "Lox_indiv_per_ml_dominance", axis_name = "Lox Dominance (%)") %>%
add_row(variable = "Pau_indiv_per_ml_dominance", axis_name = "Pau Dominance (%)") %>%
add_row(variable = "Pca_indiv_per_ml_dominance", axis_name = "Pca Dominance (%)") %>%
add_row(variable = "Spi_indiv_per_ml_dominance", axis_name = "Spi Dominance (%)") %>%
add_row(variable = "Spi_te_indiv_per_ml_dominance", axis_name = "Spi te Dominance (%)") %>%
add_row(variable = "Tet_indiv_per_ml_dominance", axis_name = "Tet Dominance (%)") %>%
add_row(variable = "Ble_indiv_per_ml_dominance_d", axis_name = "Ble Dominance ES") %>%
add_row(variable = "Cep_indiv_per_ml_dominance_d", axis_name = "Cep Dominance ES") %>%
add_row(variable = "Col_indiv_per_ml_dominance_d", axis_name = "Col Dominance ES") %>%
add_row(variable = "Eug_indiv_per_ml_dominance_d", axis_name = "Eug Dominance ES") %>%
add_row(variable = "Eup_indiv_per_ml_dominance_d", axis_name = "Eup Dominance ES") %>%
add_row(variable = "Lox_indiv_per_ml_dominance_d", axis_name = "Lox Dominance ES") %>%
add_row(variable = "Pau_indiv_per_ml_dominance_d", axis_name = "Pau Dominance ES") %>%
add_row(variable = "Pca_indiv_per_ml_dominance_d", axis_name = "Pca Dominance ES") %>%
add_row(variable = "Sp_indiv_per_mli_dominance_d", axis_name = "Spi Dominance ES") %>%
add_row(variable = "Spi_te_indiv_per_ml_dominance_d", axis_name = "Spi te Dominance ES") %>%
add_row(variable = "Tet_indiv_per_ml_dominance_d", axis_name = "Tet Dominance ES") %>%
add_row(variable = "dominance", axis_name = "Dominance (%)") %>%
add_row(variable = "log_abundance", axis_name = "Log Abundance + 1 (ind/mm²)") %>%
add_row(variable = "abundance_hedges_d", axis_name = "Density ES") %>%
add_row(variable = "beta_diversity_from_isolated", axis_name = "Divergence from isolated") %>%
add_row(variable = "beta_diversity_from_previous_time", axis_name = "Temporal Divergence") %>%
add_row(variable = "beta_diversity_from_previous_time_d", axis_name = "Temporal Divergence ES") %>%
add_row(variable = "evenness_pielou", axis_name = "Evenness") %>%
add_row(variable = "evenness_pielou_d", axis_name = "Evenness ES") %>%
slice(-1)
parameters_treatments = data.frame(treatment = NA,
colour = NA,
linetype = NA) %>%
add_row(treatment = "Small isolated", colour = "#bdbdbd", linetype = "solid") %>%
add_row(treatment = "Small connected to small", colour = "#feb24c", linetype = "dashed") %>%
add_row(treatment = "Small connected to large", colour = "#feb24c", linetype = "solid") %>%
add_row(treatment = "Medium isolated", colour = "#737373", linetype = "solid") %>%
add_row(treatment = "Medium connected to medium", colour = "#de2d26", linetype = "solid") %>%
add_row(treatment = "Large isolated", colour = "#000000", linetype = "solid") %>%
add_row(treatment = "Large connected to large", colour = "#3182bd", linetype = "dashed") %>%
add_row(treatment = "Large connected to small", colour = "#3182bd", linetype = "solid") %>%
add_row(treatment = "Small-Small meta-ecosystem", colour = "#fc9272", linetype = "solid") %>%
add_row(treatment = "Medium-Medium meta-ecosystem", colour = "#1b7837", linetype = "solid") %>%
add_row(treatment = "Medium-Medium isolated", colour = "#1b7837", linetype = "dashed") %>%
add_row(treatment = "Large-Large meta-ecosystem", colour = "#67000d", linetype = "solid") %>%
add_row(treatment = "Small-Large meta-ecosystem", colour = "#762a83", linetype = "solid") %>%
add_row(treatment = "Small-Large isolated", colour = "#762a83", linetype = "dashed") %>%
slice(-1)
figures_height_rmd_output = 7
legend_position = "top"
legend_width_cm = 2
size_legend = 12
size_x_axis = 13
size_y_axis = size_x_axis
boxplot_width = 2
dodging = 0.5
width_errorbar = 0.2
dodging_error_bar = 0.5
treatment_lines_linewidth = 1
treatment_points_size = 2.5
resource_flow_line_type = "solid"
resource_flow_line_colour = "#d9d9d9"
resource_flow_line_width = 0.3
zero_line_colour = "grey"
zero_line_line_type = "dotted"
zero_line_line_width = 0.5
zero_line_ES_line_type = "dotted"
zero_line_ES_colour = "grey"
zero_line_ES_line_width = 1
ggarrange_margin_top = 0
ggarrange_margin_bottom = 0
ggarrange_margin_left = 0
ggarrange_margin_right = 0
paper_width = 17.3
paper_height = 20
paper_units = "cm"
paper_res = 600
presentation_figure_size = 15
presentation_figure_width = 30
presentation_figure_height = 22
presentation_legend_size = 20
presentation_x_axis_size = 20
presentation_y_axis_size = presentation_x_axis_size
presentation_treatment_points_size = 5
presentation_treatment_linewidth = 2
presentation_figure_units = "cm"
presentation_figure_res = 600# Modelling
first_time_point_model = 2 #Time point 2 is the first after disturbance
last_time_point_model = last_time_point
optimizer_input = 'Nelder_Mead'
method_input = ''
compar_ex = "The full and fixed models are compared to the null model."
results_table = data.frame(
Response = as.character(NA),
Levels = as.character(NA),
ΔAIC_full = NA,
p_full = NA,
ΔR2_full = NA,
ΔAIC_fix = NA,
p_fix = NA,
ΔR2_fix = NA
) %>%
slice(-1)Data
Experimental cultures (culture_info)
This table contains information about the 110 cultures of the experiment.
# Import
culture_info = read.csv(here("data", "culture_info.csv"), header = TRUE)Individuals (ds_individuals)
In this dataset (ds_individuals) each row represents an
individual at a time point.
# Import the individual data of t0. We considered cultures to be all the same at the beginning (t0). Because of this reason, we filmed only the bottles from which cultures were assembled. Because we want to plot also t0 for the different treatments, we want to assign the video of bottles to all cultures at t0.
ds_individuals_t0_not_elongated = read.csv(here("data", "individuals", "t0.csv")) %>%
mutate(time_point = as.numeric(str_extract(time_point, "\\d+")),
day = 0,
file = as.numeric(str_extract(file, "\\d+")),
video_replicate = file) %>%
select(time_point,
day,
video_replicate,
file,
id,
N_frames,
mean_area)
ds_individuals_t0_elongated = ds_individuals_t0_not_elongated %>%
map_dfr(.x = 1 : nrow(culture_info),
.f = ~ ds_individuals_t0_not_elongated) %>%
arrange(id) %>% #Id refers to an individual
mutate(culture_ID = rep(1 : nrow(culture_info),
times = nrow(ds_individuals_t0_not_elongated))) %>%
select(time_point,
day,
video_replicate,
file,
culture_ID,
id,
N_frames,
mean_area)
expect_equal(nrow(ds_individuals_t0_not_elongated) * nrow(culture_info),
nrow(ds_individuals_t0_elongated))#Import t1-t4
ds_individuals_t1_to_t4 = NULL
for (time_point_i in time_points_without_t0) {
ds_individuals_t1_to_t4[[time_point_i]] = read.csv(here("data",
"individuals",
paste0("t",
time_point_i,
".csv"))) %>%
mutate(time_point = as.numeric(str_extract(time_point, "\\d+")),
day = time_point_day$day[time_point_day$time_point == time_point_i],
file = as.numeric(str_extract(file, "\\d+")),
video_replicate = ceiling(file/n_cultures)) #Until 110 video replicate = 1, then 2
}
ds_individuals_t1_to_t4 = ds_individuals_t1_to_t4 %>%
bind_rows() %>%
select(time_point,
day,
video_replicate,
file,
culture_ID,
id,
N_frames,
mean_area)# Bind t0 with t1-t4
ds_individuals = rbind(ds_individuals_t0_elongated,
ds_individuals_t1_to_t4) %>%
left_join(culture_info,
by = "culture_ID") # Rename and select columns
ds_individuals = ds_individuals %>%
select(
disturbance,
disturbance_volume,
time_point,
day,
video_replicate,
culture_ID,
system_nr,
file,
eco_metaeco_type,
patch_size,
patch_size_volume,
metaecosystem,
metaecosystem_type,
mean_area,
N_frames
) %>%
rename(patch_size_ml = patch_size_volume,
patch_type = eco_metaeco_type,
body_area_µm2 = mean_area)# Rename and reorder levels
ds_individuals <- ds_individuals %>%
mutate(patch_type = case_when(patch_type == "S" ~ "Small isolated",
patch_type == "M" ~ "Medium isolated",
patch_type == "L" ~ "Large isolated",
patch_type == "S (S_S)" ~ "Small connected to small",
patch_type == "S (S_L)" ~ "Small connected to large",
patch_type == "M (M_M)" ~ "Medium connected to medium",
patch_type == "L (S_L)" ~ "Large connected to small",
patch_type == "L (L_L)" ~ "Large connected to large",
TRUE ~ patch_type),
patch_type = factor(patch_type,
levels = patch_types_ordered))
ds_individuals <- ds_individuals %>%
mutate(patch_size = case_when(patch_size == "S" ~ "Small",
patch_size == "M" ~ "Medium",
patch_size == "L" ~ "Large",
TRUE ~ patch_type),
patch_size = factor(patch_size,
levels = "Small",
"Medium",
"Large"))
ds_individuals <- ds_individuals %>%
mutate(size_connected_patch = case_when(patch_type == "Small connected to small" ~ "Small",
patch_type == "Small connected to large" ~ "Large",
patch_type == "Medium connected to medium" ~ "Medium",
patch_type == "Large connected to large" ~ "Large",
patch_type == "Large connected to small" ~ "Small",
TRUE ~ NA_character_))# Take off problematic videos
ds_individuals_before_taking_off_videos = ds_individuals
ds_individuals = ds_individuals %>%
filter(!(time_point %in% videos_to_take_off$time_point & file %in% videos_to_take_off$file))
diff = setdiff(ds_individuals_before_taking_off_videos, ds_individuals)
expect_equal(nrow(videos_to_take_off),
nrow(expand.grid(diff$culture_ID, diff$time_point, diff$file) %>% unique()))# Take off problematic cultures
ds_individuals_before_taking_off_cultures = ds_individuals
ds_individuals = ds_individuals %>%
filter(!culture_ID %in% patches_to_take_off)
expect_equal(setdiff(ds_individuals_before_taking_off_cultures,
ds_individuals) %>%
pull(culture_ID) %>%
unique(),
patches_to_take_off)Patches (ds_patches)
In this dataset (ds_patches) each row represents a patch
at a time point. I use the data from the 40 threshold analysis for Ble,
Cep, Spi and the data from the 13 threshold analysis for all the other
protists (Col, Eup, Lox, Pau, Pca, Spi te, Tet).
# Import & bind t0 datasets.
ds_patches_t0 = read.csv(here("data", "populations", "t0.csv")) %>%
mutate(time_point = as.numeric(str_extract(time_point, "\\d+")),
day = 0,
video_replicate = file) %>%
select(time_point,
day,
video_replicate,
file,
bioarea_per_volume,
indiv_per_volume)
species_ID_13_threshold_t0 = read.csv(here("data", "species_ID_13_threshold", paste0("t0.csv"))) %>%
rename(Ble_indiv_per_volume = Ble,
Cep_indiv_per_volume = Cep,
Col_indiv_per_volume = Col,
Eug_indiv_per_volume = Eug,
Eup_indiv_per_volume = Eup,
Lox_indiv_per_volume = Lox,
Pau_indiv_per_volume = Pau,
Pca_indiv_per_volume = Pca,
Spi_indiv_per_volume = Spi,
Spi_te_indiv_per_volume = Spi_te,
Tet_indiv_per_volume = Tet) %>%
select(file,
all_of(species_IDD_with_13_threshold_indiv_per_volume))
species_ID_40_threshold_t0 = read.csv(here("data", "species_ID_40_threshold", paste0("t0.csv"))) %>%
rename(Ble_indiv_per_volume = Ble,
Cep_indiv_per_volume = Cep,
Col_indiv_per_volume = Col,
Eug_indiv_per_volume = Eug,
Eup_indiv_per_volume = Eup,
Lox_indiv_per_volume = Lox,
Pau_indiv_per_volume = Pau,
Pca_indiv_per_volume = Pca,
Spi_indiv_per_volume = Spi,
Spi_te_indiv_per_volume = Spi_te,
Tet_indiv_per_volume = Tet) %>%
select(file,
all_of(species_IDD_with_40_threshold_indiv_per_volume))
ds_patches_t0 = ds_patches_t0 %>%
left_join(species_ID_13_threshold_t0,
by = "file") %>%
left_join(species_ID_40_threshold_t0,
by = "file") %>%
mutate(file = as.numeric(str_extract(file, "\\d+")))# Elongate t0 dataset.
ds_patches_t0_elongated <- list()
for (video_i in 1 : n_videos_taken_t0) {
single_video = ds_patches_t0 %>%
filter(file == video_i)
ds_patches_t0_elongated[[video_i]] = culture_info %>%
mutate(
time_point = 0,
day = 0,
file = single_video$file,
video_replicate = single_video$video_replicate,
bioarea_per_volume = single_video$bioarea_per_volume,
indiv_per_volume = single_video$indiv_per_volume,
Ble_indiv_per_volume = single_video$Ble_indiv_per_volume,
Cep_indiv_per_volume = single_video$Cep_indiv_per_volume,
Col_indiv_per_volume = single_video$Col_indiv_per_volume,
Eug_indiv_per_volume = single_video$Eug_indiv_per_volume,
Eup_indiv_per_volume = single_video$Eup_indiv_per_volume,
Lox_indiv_per_volume = single_video$Lox_indiv_per_volume,
Pau_indiv_per_volume = single_video$Pau_indiv_per_volume,
Pca_indiv_per_volume = single_video$Pca_indiv_per_volume,
Spi_indiv_per_volume = single_video$Spi_indiv_per_volume,
Spi_te_indiv_per_volume = single_video$Spi_te_indiv_per_volume,
Tet_indiv_per_volume = single_video$Tet_indiv_per_volume)
}
ds_patches_t0_elongated = ds_patches_t0_elongated %>%
bind_rows()# Clean the columns of t0
ds_patches_t0 = ds_patches_t0_elongated %>%
select(
file,
time_point,
day,
culture_ID,
video_replicate,
bioarea_per_volume,
indiv_per_volume,
all_of(protist_species_indiv_per_volume))
expect_equal(nrow(ds_patches_t0), sum(n_videos_taken_t0 * n_cultures))# Import and bind t1-t4
ds_patches_t1_to_t4 = NULL
for (time_point_i in time_points_without_t0) {
species_ID_13_threshold = read.csv(here("data",
"species_ID_13_threshold",
paste0("t", time_point_i, ".csv"))) %>%
rename(Ble_indiv_per_volume = Ble,
Cep_indiv_per_volume = Cep,
Col_indiv_per_volume = Col,
Eug_indiv_per_volume = Eug,
Eup_indiv_per_volume = Eup,
Lox_indiv_per_volume = Lox,
Pau_indiv_per_volume = Pau,
Pca_indiv_per_volume = Pca,
Spi_indiv_per_volume = Spi,
Spi_te_indiv_per_volume = Spi_te,
Tet_indiv_per_volume = Tet) %>%
select(file,
all_of(species_IDD_with_13_threshold_indiv_per_volume))
species_ID_40_threshold = read.csv(here("data",
"species_ID_40_threshold",
paste0("t", time_point_i, ".csv"))) %>%
rename(Ble_indiv_per_volume = Ble,
Cep_indiv_per_volume = Cep,
Col_indiv_per_volume = Col,
Eug_indiv_per_volume = Eug,
Eup_indiv_per_volume = Eup,
Lox_indiv_per_volume = Lox,
Pau_indiv_per_volume = Pau,
Pca_indiv_per_volume = Pca,
Spi_indiv_per_volume = Spi,
Spi_te_indiv_per_volume = Spi_te,
Tet_indiv_per_volume = Tet) %>%
select(file,
all_of(species_IDD_with_40_threshold_indiv_per_volume))
ds_patches_t1_to_t4[[time_point_i]] = read.csv(here("data",
"populations",
paste0("t", time_point_i, ".csv"))) %>%
arrange(file) %>%
mutate(video_replicate = rep(1 : time_point_day$video_replicates[time_point_i+1],
each = n_cultures),
day = time_point_day$day[time_point_day$time_point == time_point_i]) %>%
select(
file,
time_point,
day,
video_replicate,
file,
culture_ID,
bioarea_per_volume,
indiv_per_volume)
ds_patches_t1_to_t4[[time_point_i]] = ds_patches_t1_to_t4[[time_point_i]] %>%
left_join(species_ID_13_threshold,
by = "file") %>%
left_join(species_ID_40_threshold,
by = "file")
}
ds_patches_t1_to_t4 = ds_patches_t1_to_t4 %>%
bind_rows()# Bind t0 with t1-t4
ds_patches = rbind(ds_patches_t0,
ds_patches_t1_to_t4) %>%
left_join(culture_info,
by = "culture_ID")
expect_equal(nrow(ds_patches),
sum(sum(time_point_day$video_replicates) * n_cultures))# Reorder and rename columns
ds_patches = ds_patches %>%
rename(patch_size_ml = patch_size_volume) %>%
select(
file,
time_point,
day,
disturbance,
culture_ID,
system_nr,
eco_metaeco_type,
patch_size,
patch_size_ml,
metaecosystem,
metaecosystem_type,
video_replicate,
bioarea_per_volume,
indiv_per_volume,
all_of(protist_species_indiv_per_volume)
) %>%
rename(patch_type = eco_metaeco_type,
bioarea_µm2_per_μL = bioarea_per_volume) %>%
rename_all( ~ gsub("volume", "μL", .))# Rename and reorder levels
ds_patches <- ds_patches %>%
mutate(
patch_type = case_when(
patch_type == "S" ~ "Small isolated",
patch_type == "M" ~ "Medium isolated",
patch_type == "L" ~ "Large isolated",
patch_type == "S (S_S)" ~ "Small connected to small",
patch_type == "S (S_L)" ~ "Small connected to large",
patch_type == "M (M_M)" ~ "Medium connected to medium",
patch_type == "L (S_L)" ~ "Large connected to small",
patch_type == "L (L_L)" ~ "Large connected to large",
TRUE ~ patch_type
),
patch_type = factor(x = patch_type,
levels = patch_types_ordered),
patch_size = case_when(
patch_size == "S" ~ "Small",
patch_size == "M" ~ "Medium",
patch_size == "L" ~ "Large",
TRUE ~ patch_size
),
metaecosystem_type = case_when(
metaecosystem_type == "S_S" ~ "Small-Small meta-ecosystem",
metaecosystem_type == "M_M" ~ "Medium-Medium meta-ecosystem",
metaecosystem_type == "L_L" ~ "Large-Large meta-ecosystem",
metaecosystem_type == "S_L" ~ "Small-Large meta-ecosystem",
TRUE ~ metaecosystem_type
),
size_connected_patch = case_when(
patch_type == "Small connected to small" ~ "Small",
patch_type == "Small connected to large" ~ "Large",
patch_type == "Medium connected to medium" ~ "Medium",
patch_type == "Large connected to large" ~ "Large",
patch_type == "Large connected to small" ~ "Small",
TRUE ~ NA_character_
),
time_point = as.numeric(str_extract(time_point, "\\d+")),
file = as.numeric(str_extract(file, "\\d+")),
)# Change units of measurments to ml
ds_patches = ds_patches %>%
mutate(bioarea_µm2_per_ml = bioarea_µm2_per_μL * 10^3,
bioarea_mm2_per_ml = bioarea_µm2_per_ml * 10^(-6),
Ble_indiv_per_ml = Ble_indiv_per_μL * 10^3,
Cep_indiv_per_ml = Cep_indiv_per_μL * 10^3,
Col_indiv_per_ml = Col_indiv_per_μL * 10^3,
Eug_indiv_per_ml = Eug_indiv_per_μL * 10^3,
Eup_indiv_per_ml = Eup_indiv_per_μL * 10^3,
Lox_indiv_per_ml = Lox_indiv_per_μL * 10^3,
Pau_indiv_per_ml = Pau_indiv_per_μL * 10^3,
Pca_indiv_per_ml = Pca_indiv_per_μL * 10^3,
Spi_indiv_per_ml = Spi_indiv_per_μL * 10^3,
Spi_te_indiv_per_ml = Spi_te_indiv_per_μL * 10^3,
Tet_indiv_per_ml = Tet_indiv_per_μL * 10^3)# Take off problematic videos
ds_patches_before_taking_off_videos = ds_patches
ds_patches = ds_patches %>%
filter(!(time_point %in% videos_to_take_off$time_point & file %in% videos_to_take_off$file))
diff = setdiff(ds_patches_before_taking_off_videos, ds_patches)
expect_equal(nrow(videos_to_take_off),
nrow(expand.grid(diff$culture_ID, diff$time_point, diff$file) %>% unique()))# Take off problematic cultures
ds_patches_before_taking_off_cultures = ds_patches
ds_patches = ds_patches %>%
filter(!culture_ID %in% patches_to_take_off)
expect_equal(setdiff(ds_patches_before_taking_off_cultures,
ds_patches) %>%
pull(culture_ID) %>%
unique(),
patches_to_take_off)# Average videos
ds_patches = ds_patches %>%
group_by(across(all_of(columns_patches))) %>%
summarise(across(contains("_per_ml"), mean),
across(contains("_tot"), mean)) %>%
ungroup()
expect_equal(nrow(ds_patches),
(n_cultures - length(patches_to_take_off)) * length(time_points))# Add connection and individuals
ds_patches = ds_patches %>%
mutate(indiv_per_ml = !!rlang::parse_expr(paste(protist_species_indiv_per_ml,
collapse = " + ")))
ds_patches = ds_patches %>%
mutate(connection = ifelse(str_detect(patch_type, "isolated"),
"isolated",
"connected"),
connection = factor(x = connection,
levels = c("isolated", "connected")))# Calculate total response variable for the whole patch
ds_patches = ds_patches %>%
mutate(bioarea_tot_mm2 = bioarea_mm2_per_ml * patch_size_ml,
indiv_tot = indiv_per_ml * patch_size_ml,
Ble_tot_indiv = Ble_indiv_per_ml * patch_size_ml,
Cep_tot_indiv = Cep_indiv_per_ml * patch_size_ml,
Col_tot_indiv = Col_indiv_per_ml * patch_size_ml,
Eug_tot_indiv = Eug_indiv_per_ml * patch_size_ml,
Eup_tot_indiv = Eup_indiv_per_ml * patch_size_ml,
Lox_tot_indiv = Lox_indiv_per_ml * patch_size_ml,
Pau_tot_indiv = Pau_indiv_per_ml * patch_size_ml,
Pca_tot_indiv = Pca_indiv_per_ml * patch_size_ml,
Spi_tot_indiv = Spi_indiv_per_ml * patch_size_ml,
Spi_te_tot_indiv = Spi_te_indiv_per_ml * patch_size_ml,
Tet_tot_indiv = Tet_indiv_per_ml * patch_size_ml)# Calculate species dominance
ds_patches = ds_patches %>%
mutate(across(.cols = all_of(protist_species_indiv_per_ml),
.fns = list(dominance = ~ (. / indiv_per_ml) * 100),
.names = "{col}_dominance"))
expect_equal(unique(ds_patches$Ble_indiv_per_ml_dominance[ds_patches$indiv_per_ml == 0]), NaN)
if (FALSE %in% unique((ds_patches$Ble_indiv_per_ml/ds_patches$indiv_per_ml) *100 == ds_patches$Ble_indiv_per_ml_dominance)) stop()# Calculate alpha diversity (Shannon, Simpson, Inverse Simpson, Evenness)
n_rows_ds_patches_before_calculating_alpha = nrow(ds_patches)
ds_patches = calculate.alpha.diversity()
expect_equal(max(ds_patches$species_richness),
length(protist_species))
expect_equal(nrow(ds_patches),
n_rows_ds_patches_before_calculating_alpha)# Calculate median body size
n_rows_ds_patches_before_median_size = nrow(ds_patches)
ds_median_body_size = ds_individuals %>%
group_by(time_point,
culture_ID,
file) %>%
summarise(median_body_area_µm2 = median(body_area_µm2)) %>%
group_by(time_point,
culture_ID) %>%
summarise(median_body_area_µm2 = mean(median_body_area_µm2))
expect_true(nrow(ds_median_body_size) <= nrow(ds_patches)) #Ds median body size could be less because some cultures might be crashed and not have any individual.
ds_patches_before_full_join = ds_patches
ds_patches = full_join(ds_patches, ds_median_body_size)
expect_equal(nrow(ds_patches),
n_rows_ds_patches_before_median_size)Patch effect sizes (ds_patches_effect_size)
In this dataset (ds_patches_effect_size) each row
represents a treatment at a time point. It contains the effect size of
the connection of a patch (connected vs isolated).
# Calculate the mean & sd of response variables for each treatment/control at each time point
ds_patches_effect_size = NULL
variable_nr = 0
for (variable_i in variables_patches) {
variable_nr = variable_nr + 1
ds_patches_effect_size[[variable_nr]] = ds_patches %>%
filter(time_point >= 1,
!is.na(!!sym(variable_i))) %>%
group_by(across(all_of(columns_patches[columns_patches != "culture_ID" &
columns_patches != "system_nr"]))) %>%
summarise(across(all_of(variable_i),
list(mean = mean,
sd = sd)),
sample_size = n()) %>%
rename_with( ~ paste0(variable_i, "_sample_size"),
matches("sample_size"))
}
ds_patches_effect_size <- reduce(ds_patches_effect_size,
full_join,
by = columns_patches[columns_patches != "culture_ID" &
columns_patches != "system_nr"])
expect_equal(nrow(ds_patches_effect_size),
n_patch_types * (n_time_points-1) * n_disturbance_levels)# Calculate the effect size (Hedge's d) for each treatment at each time point
for (variable_i in variables_patches) {
ds_patches_effect_size <- ds_patches_effect_size %>%
mutate(
!!paste0(variable_i, "_d") := NA,
!!paste0(variable_i, "_d_upper") := NA,
!!paste0(variable_i, "_d_lower") := NA
)
}
row_n = 0
for (treatment_input in treatments_and_controls$treatment) {
for (time_point_input in time_points) {
row_n = row_n + 1
control_input = treatments_and_controls$control[
treatments_and_controls$treatment == treatment_input
]
treatment_row = ds_patches_effect_size %>%
filter(patch_type == treatment_input,
time_point == time_point_input)
control_row = ds_patches_effect_size %>%
filter(patch_type == control_input,
time_point == time_point_input)
for (response_variable in variables_patches) {
hedges_d = calculate.hedges_d(
treatment_row[[paste0(response_variable, "_mean")]],
treatment_row[[paste0(response_variable, "_sd")]],
treatment_row[[paste0(response_variable, "_sample_size")]],
control_row[[paste0(response_variable, "_mean")]],
control_row[[paste0(response_variable, "_sd")]],
control_row[[paste0(response_variable, "_sample_size")]]
)
ds_patches_effect_size[[paste0(response_variable, "_d")]][
ds_patches_effect_size$patch_type == treatment_input &
ds_patches_effect_size$time_point == time_point_input] =
hedges_d$d
ds_patches_effect_size[[paste0(response_variable, "_d_upper")]][
ds_patches_effect_size$patch_type == treatment_input &
ds_patches_effect_size$time_point == time_point_input] =
hedges_d$upper_CI
ds_patches_effect_size[[paste0(response_variable, "_d_lower")]][
ds_patches_effect_size$patch_type == treatment_input &
ds_patches_effect_size$time_point == time_point_input] =
hedges_d$lower_CI
}
}
}
expect_equal(nrow(ds_patches_effect_size),
n_patch_types * (n_time_points-1) * n_disturbance_levels)Meta-ecosystems (ds_metaecosystems)
In this dataset (ds_metaecosystems) each row represents
a meta-ecosystem or a two-patch isolated system at a time point.
#Find combinations of patches in isolated two-patch systems.
ID_isolated_S_low = ds_patches %>%
filter(patch_type == "Small isolated",
disturbance == "low") %>%
pull(culture_ID) %>%
unique()
ID_isolated_L_low = ds_patches %>%
filter(patch_type == "Large isolated",
disturbance == "low") %>%
pull(culture_ID) %>%
unique()
ID_isolated_S_high = ds_patches %>%
filter(patch_type == "Small isolated",
disturbance == "high") %>%
pull(culture_ID) %>%
unique()
ID_isolated_L_high = ds_patches %>%
filter(patch_type == "Large isolated",
disturbance == "high") %>%
pull(culture_ID) %>%
unique()
ID_isolated_M_low = ds_patches %>%
filter(patch_type == "Medium isolated",
disturbance == "low") %>%
pull(culture_ID) %>%
unique()
ID_isolated_M_high = ds_patches %>%
filter(patch_type == "Medium isolated",
disturbance == "high") %>%
pull(culture_ID) %>%
unique()
combinations_S_and_L_low = crossing(ID_isolated_S_low,
ID_isolated_L_low) %>%
mutate(disturbance = "low",
metaecosystem_type = "Small-Large isolated") %>%
rename(ID_first_patch = ID_isolated_S_low,
ID_second_patch = ID_isolated_L_low) %>%
select(disturbance,
metaecosystem_type,
ID_first_patch,
ID_second_patch)
expect_equal(nrow(combinations_S_and_L_low),
length(ID_isolated_S_low) * length(ID_isolated_L_low))
combinations_S_and_L_high = crossing(ID_isolated_S_high,
ID_isolated_L_high) %>%
mutate(disturbance = "high",
metaecosystem_type = "Small-Large isolated") %>%
rename(ID_first_patch = ID_isolated_S_high,
ID_second_patch = ID_isolated_L_high) %>%
select(disturbance,
metaecosystem_type,
ID_first_patch,
ID_second_patch)
expect_equal(nrow(combinations_S_and_L_high),
length(ID_isolated_S_high) * length(ID_isolated_L_high))
combinations_M_and_M_low = combinat::combn(ID_isolated_M_low,
m = 2) %>%
t() %>%
as.data.frame() %>%
rename(ID_first_patch = V1,
ID_second_patch = V2) %>%
mutate(disturbance = "low",
metaecosystem_type = "Medium-Medium isolated") %>%
select(disturbance,
metaecosystem_type,
ID_first_patch,
ID_second_patch)
expect_equal(nrow(combinations_M_and_M_low),
sum(seq(length(ID_isolated_M_low) - 1)))
combinations_M_and_M_high = combinat::combn(ID_isolated_M_high,
m = 2) %>%
t() %>%
as.data.frame() %>%
rename(ID_first_patch = V1,
ID_second_patch = V2) %>%
mutate(disturbance = "high",
metaecosystem_type = "Medium-Medium isolated") %>%
select(disturbance,
metaecosystem_type,
ID_first_patch,
ID_second_patch)
expect_equal(nrow(combinations_M_and_M_high),
sum(seq(length(ID_isolated_M_high) - 1)))
combinations_isolated_systems = rbind(combinations_S_and_L_low,
combinations_S_and_L_high,
combinations_M_and_M_low,
combinations_M_and_M_high) %>%
mutate(system_nr = 1001:(1000 + nrow(.))) %>%
select(system_nr,
disturbance,
metaecosystem_type,
ID_first_patch,
ID_second_patch)#Find combinations of patches in meta-ecosystems.
combinations_metaecos = ds_patches %>%
filter(time_point == 0,
metaecosystem == "yes") %>%
select(system_nr,
disturbance,
metaecosystem_type,
culture_ID) %>%
group_by(system_nr,
disturbance,
metaecosystem_type) %>%
summarise(ID_first_patch = (mean(culture_ID) - 0.5),
ID_second_patch = (mean(culture_ID) + 0.5)) %>%
as.data.frame()#Bind isolated systems and meta-ecosystems
combinations_isolated_n_metaecos = rbind(combinations_isolated_systems,
combinations_metaecos) %>%
mutate(connection = ifelse(metaecosystem_type %in% c("Medium-Medium isolated",
"Small-Large isolated"),
yes = "isolated",
no = "connected"),
patches_combined = paste0(ID_first_patch, "|", ID_second_patch))
n_patches_combinations = nrow(combinations_isolated_n_metaecos)
expect_equal(nrow(combinations_isolated_n_metaecos),
nrow(combinations_isolated_systems) + nrow(combinations_metaecos))#Create combination sets for SL isolated where each sets contains each patch only one time. To find all combinations where all the patches are included, but only one at the time, I keep the small patches on the same order, but then I perform a permutation of the order in which large patches are arranged and coupled to the small patches.
disturbance_nr = 0
SL_isolated_sys_sets <- vector("list",
length(disturbance_levels))
for (disturbance_input in disturbance_levels) {
concat_permutations_large = NULL
disturbance_nr = disturbance_nr + 1
#Find culture ID of small and large patches
ID_small_patches = ds_patches %>%
filter(disturbance == disturbance_input,
patch_type == "Small isolated") %>%
pull(culture_ID) %>%
unique()
ID_large_patches = ds_patches %>%
filter(disturbance == disturbance_input,
patch_type == "Large isolated") %>%
pull(culture_ID) %>%
unique()
#Force small and large patches vectors to have the same length
if (length(ID_large_patches) < length(ID_small_patches)) {
ID_large_patches = c(ID_large_patches,
rep(
"Patch taken off",
times = length(ID_small_patches) - length(ID_large_patches)
))
}
if (length(ID_small_patches) < length(ID_large_patches)) {
ID_small_patches = c(ID_small_patches,
rep(
"Patch taken off",
times = length(ID_large_patches) - length(ID_small_patches)
))
}
#Create vector with large patches
permutations_large = permn(ID_large_patches)
for (list_element in 1:length(permutations_large)) {
concat_permutations_large = c(concat_permutations_large,
permutations_large[[list_element]])
}
vector_large_patches = concat_permutations_large
#Create vector with small patches
vector_small_patches = rep(ID_small_patches,
times = length(permutations_large))
#Create vector with sets
vector_sets = rep(1:length(permutations_large),
each = length(ID_small_patches))
#Bind vectors together into the isolated SL system sets (SL_isolated_sys_sets)
SL_isolated_sys_sets[[disturbance_nr]]$ID_small_patches = vector_small_patches
SL_isolated_sys_sets[[disturbance_nr]]$ID_large_patches = vector_large_patches
SL_isolated_sys_sets[[disturbance_nr]]$set = vector_sets
expect_equal(
length(SL_isolated_sys_sets[[disturbance_nr]]$ID_small_patches),
length(ID_small_patches) * length(permutations_large)
)
expect_equal(
length(SL_isolated_sys_sets[[disturbance_nr]]$ID_large_patches),
length(ID_large_patches) * length(permutations_large)
)
expect_equal(
length(SL_isolated_sys_sets[[disturbance_nr]]$set),
length(ID_small_patches) * length(permutations_large)
)
#Finalise the dataset with isolated SL system sets (SL_isolated_sys_sets)
SL_isolated_sys_sets[[disturbance_nr]] = SL_isolated_sys_sets[[disturbance_nr]] %>%
as.data.frame() %>%
mutate(
disturbance = disturbance_input,
metaecosystem_type = "Small-Large isolated",
connection = "isolated"
) %>%
rename(ID_first_patch = ID_small_patches,
ID_second_patch = ID_large_patches) %>%
select(disturbance,
metaecosystem_type,
ID_first_patch,
ID_second_patch,
connection,
set)
expect_equal(
nrow(SL_isolated_sys_sets[[disturbance_nr]]),
length(ID_small_patches) * length(permutations_large)
)
SL_isolated_sys_sets[[disturbance_nr]] = SL_isolated_sys_sets[[disturbance_nr]] %>%
filter(!ID_first_patch == "Patch taken off",
!ID_second_patch == "Patch taken off") %>%
mutate(
ID_first_patch = as.double(ID_first_patch),
ID_second_patch = as.double(ID_second_patch)
)
#Add to the SL_isolated_sys_sets the system nr
SL_isolated_sys_rows_to_be_joined = combinations_isolated_n_metaecos %>%
filter(disturbance == disturbance_input,
metaecosystem_type == "Small-Large isolated")
SL_isolated_sys_sets[[disturbance_nr]] = full_join(SL_isolated_sys_sets[[disturbance_nr]],
SL_isolated_sys_rows_to_be_joined)
}
#Bind high and low disturbances
SL_isolated_sys_sets_bound = SL_isolated_sys_sets %>%
bind_rows()
expect_equal(
nrow(SL_isolated_sys_sets_bound),
nrow(SL_isolated_sys_sets[[1]]) + nrow(SL_isolated_sys_sets[[2]])
)
expect_equal(
length(
SL_isolated_sys_sets_bound %>%
pull(system_nr) %>%
unique()
),
length(
combinations_isolated_n_metaecos %>%
filter(metaecosystem_type == "Small-Large isolated") %>%
pull(system_nr) %>%
unique()
)
)
#Recall in a better way
SL_isolated_sys_sets = SL_isolated_sys_sets_bound#Create combination sets for MM isolated where each sets contains each patch only one time. To find all combinations where all the patches are included, but only one at the time, I ...
disturbance_nr = 0
MM_isolated_sys_sets <- vector("list",
length(disturbance_levels))
#Find all the combination sets
for (disturbance_input in disturbance_levels) {
disturbance_nr = disturbance_nr + 1
#Find culture ID of medium patches
ID_medium_patches = ds_patches %>%
filter(disturbance == disturbance_input,
patch_type == "Medium isolated") %>%
pull(culture_ID) %>%
unique()
#Find pairwise combinations
MM_isolated_sys = combn(ID_medium_patches,
2) %>%
t()
n_MM_isolated_sys = nrow(MM_isolated_sys)
#Find all the possible sets of combinations
MM_isolated_sys_sets[[disturbance_nr]] = matrix(nrow = 10 ^ 4,
ncol = 4)
matrix_row = 0
for (first_system_n in 1:n_MM_isolated_sys) {
#Find culture IDs of the first system
first_system = MM_isolated_sys[first_system_n, ]
for (second_system_n in 1:n_MM_isolated_sys) {
#Find culture IDs of the second system
second_system = MM_isolated_sys[second_system_n, ]
shared_elements_first_n_second_system = intersect(first_system,
second_system)
if (length(shared_elements_first_n_second_system) == 0) {
matrix_row = matrix_row + 1
#Make first and second system into a set
MM_isolated_sys_sets[[disturbance_nr]][matrix_row,] = c(first_system,
second_system)
}
}
}
#Tidy the dataset with all the patch combinations
MM_isolated_sys_sets[[disturbance_nr]] = MM_isolated_sys_sets[[disturbance_nr]] %>%
as.data.frame() %>%
drop_na()
expect_equal(
MM_isolated_sys_sets[[disturbance_nr]] %>%
filter(V1 == V2 | V1 == V3 | V1 == V4 | V2 == V3 | V2 == V4 | V3 == V4) %>%
nrow(),
0
)
#Reorder the dataset with all the patch combinations
MM_isolated_sys_sets_reordered = data.frame(
ID_first_patch = NA,
ID_second_patch = NA,
set = NA
)
n_sets = nrow(MM_isolated_sys_sets[[disturbance_nr]])
for (set_input in 1:n_sets) {
MM_isolated_sys_sets_reordered = MM_isolated_sys_sets_reordered %>%
add_row(
ID_first_patch = MM_isolated_sys_sets[[disturbance_nr]][set_input, 1],
ID_second_patch = MM_isolated_sys_sets[[disturbance_nr]][set_input, 2],
set = set_input
) %>%
add_row(
ID_first_patch = MM_isolated_sys_sets[[disturbance_nr]][set_input, 3],
ID_second_patch = MM_isolated_sys_sets[[disturbance_nr]][set_input, 4],
set = set_input
)
}
#Add to a list
MM_isolated_sys_sets[[disturbance_nr]] = MM_isolated_sys_sets_reordered %>%
drop_na() %>%
mutate(
disturbance = disturbance_input,
metaecosystem_type = "Medium-Medium isolated",
connection = "isolated"
)
#Add system nr
ID_combinations_MM_isolated = combinations_isolated_n_metaecos %>%
filter(disturbance == disturbance_input,
metaecosystem_type == "Medium-Medium isolated")
MM_isolated_sys_sets[[disturbance_nr]] = full_join(MM_isolated_sys_sets[[disturbance_nr]],
ID_combinations_MM_isolated)
}
#Bind all sets of MM isolated
MM_isolated_sys_sets = MM_isolated_sys_sets %>%
bind_rows()
expect_equal(
length(MM_isolated_sys_sets %>%
pull(system_nr) %>%
unique()),
length(
combinations_isolated_n_metaecos %>%
filter(metaecosystem_type == "Medium-Medium isolated") %>%
pull(system_nr) %>%
unique()
)
)#Bind SL and MM isolated systems
isolated_combinations_sets = rbind(SL_isolated_sys_sets,
MM_isolated_sys_sets) %>%
select(disturbance,
metaecosystem_type,
connection,
set,
system_nr,
ID_first_patch,
ID_second_patch)Each row is a meta-ecosystem.
It contains also “fake” meta-ecosystems which I created from isolated patches (
metaecosystem type = Small-Large isolated&metaecosystem type = Medium-Medium isolated).Warning appear after the following code, as:
- alpha diversity is computed for a culture that is totally crashed, so it has not meaning.
- beta diversity is computed between a culture that is still alive and one that is totally crashed. Because one of the cultures is totally crashed, the Bray-Curtis index is 1.
#Create the ds_metaecosystem dataset
ds_metaecosystems = create.meatecosystem.ds()## Warning in vegdist(species_vector_two_patches, method = "jaccard"): you have empty rows: their dissimilarities may be
## meaningless in method "jaccard"## Warning in vegdist(species_vector_two_patches, method = "bray"): you have empty rows: their dissimilarities may be
## meaningless in method "bray"## Warning in vegdist(species_vector_two_patches, method = "jaccard"): you have empty rows: their dissimilarities may be
## meaningless in method "jaccard"## Warning in vegdist(species_vector_two_patches, method = "bray"): you have empty rows: their dissimilarities may be
## meaningless in method "bray"## Warning in vegdist(species_vector_two_patches, method = "jaccard"): you have empty rows: their dissimilarities may be
## meaningless in method "jaccard"## Warning in vegdist(species_vector_two_patches, method = "bray"): you have empty rows: their dissimilarities may be
## meaningless in method "bray"## Warning in vegdist(species_vector_two_patches, method = "jaccard"): you have empty rows: their dissimilarities may be
## meaningless in method "jaccard"## Warning in vegdist(species_vector_two_patches, method = "bray"): you have empty rows: their dissimilarities may be
## meaningless in method "bray"## Warning in vegdist(species_vector_two_patches, method = "jaccard"): you have empty rows: their dissimilarities may be
## meaningless in method "jaccard"## Warning in vegdist(species_vector_two_patches, method = "bray"): you have empty rows: their dissimilarities may be
## meaningless in method "bray"## Warning in vegdist(species_vector_two_patches, method = "jaccard"): you have empty rows: their dissimilarities may be
## meaningless in method "jaccard"## Warning in vegdist(species_vector_two_patches, method = "bray"): you have empty rows: their dissimilarities may be
## meaningless in method "bray"## Warning in vegdist(species_vector_two_patches, method = "jaccard"): you have empty rows: their dissimilarities may be
## meaningless in method "jaccard"## Warning in vegdist(species_vector_two_patches, method = "bray"): you have empty rows: their dissimilarities may be
## meaningless in method "bray"## Warning in vegdist(species_vector_two_patches, method = "jaccard"): you have empty rows: their dissimilarities may be
## meaningless in method "jaccard"## Warning in vegdist(species_vector_two_patches, method = "bray"): you have empty rows: their dissimilarities may be
## meaningless in method "bray"## Warning in vegdist(species_vector_two_patches, method = "jaccard"): you have empty rows: their dissimilarities may be
## meaningless in method "jaccard"## Warning in vegdist(species_vector_two_patches, method = "bray"): you have empty rows: their dissimilarities may be
## meaningless in method "bray"## Warning in vegdist(species_vector_two_patches, method = "jaccard"): you have empty rows: their dissimilarities may be
## meaningless in method "jaccard"## Warning in vegdist(species_vector_two_patches, method = "bray"): you have empty rows: their dissimilarities may be
## meaningless in method "bray"## Warning in vegdist(species_vector_two_patches, method = "jaccard"): you have empty rows: their dissimilarities may be
## meaningless in method "jaccard"## Warning in vegdist(species_vector_two_patches, method = "bray"): you have empty rows: their dissimilarities may be
## meaningless in method "bray"## Warning in vegdist(species_vector_two_patches, method = "jaccard"): you have empty rows: their dissimilarities may be
## meaningless in method "jaccard"## Warning in vegdist(species_vector_two_patches, method = "bray"): you have empty rows: their dissimilarities may be
## meaningless in method "bray"## Warning in vegdist(species_vector_two_patches, method = "jaccard"): you have empty rows: their dissimilarities may be
## meaningless in method "jaccard"## Warning in vegdist(species_vector_two_patches, method = "bray"): you have empty rows: their dissimilarities may be
## meaningless in method "bray"## Warning in vegdist(species_vector_two_patches, method = "jaccard"): you have empty rows: their dissimilarities may be
## meaningless in method "jaccard"## Warning in vegdist(species_vector_two_patches, method = "bray"): you have empty rows: their dissimilarities may be
## meaningless in method "bray"## Warning in vegdist(species_vector_two_patches, method = "jaccard"): you have empty rows: their dissimilarities may be
## meaningless in method "jaccard"## Warning in vegdist(species_vector_two_patches, method = "bray"): you have empty rows: their dissimilarities may be
## meaningless in method "bray"## Warning in vegdist(species_vector_two_patches, method = "jaccard"): you have empty rows: their dissimilarities may be
## meaningless in method "jaccard"## Warning in vegdist(species_vector_two_patches, method = "bray"): you have empty rows: their dissimilarities may be
## meaningless in method "bray"## Warning in vegdist(species_vector_two_patches, method = "jaccard"): you have empty rows: their dissimilarities may be
## meaningless in method "jaccard"## Warning in vegdist(species_vector_two_patches, method = "bray"): you have empty rows: their dissimilarities may be
## meaningless in method "bray"## Warning in vegdist(species_vector_two_patches, method = "jaccard"): you have empty rows: their dissimilarities may be
## meaningless in method "jaccard"## Warning in vegdist(species_vector_two_patches, method = "bray"): you have empty rows: their dissimilarities may be
## meaningless in method "bray"## Warning in vegdist(species_vector_two_patches, method = "jaccard"): you have empty rows: their dissimilarities may be
## meaningless in method "jaccard"## Warning in vegdist(species_vector_two_patches, method = "bray"): you have empty rows: their dissimilarities may be
## meaningless in method "bray"## Warning in vegdist(species_vector_two_patches, method = "jaccard"): you have empty rows: their dissimilarities may be
## meaningless in method "jaccard"## Warning in vegdist(species_vector_two_patches, method = "bray"): you have empty rows: their dissimilarities may be
## meaningless in method "bray"## Warning in vegdist(species_vector_two_patches, method = "jaccard"): you have empty rows: their dissimilarities may be
## meaningless in method "jaccard"## Warning in vegdist(species_vector_two_patches, method = "bray"): you have empty rows: their dissimilarities may be
## meaningless in method "bray"## Warning in vegdist(species_vector_two_patches, method = "jaccard"): you have empty rows: their dissimilarities may be
## meaningless in method "jaccard"## Warning in vegdist(species_vector_two_patches, method = "bray"): you have empty rows: their dissimilarities may be
## meaningless in method "bray"## Warning in vegdist(species_vector_two_patches, method = "jaccard"): you have empty rows: their dissimilarities may be
## meaningless in method "jaccard"## Warning in vegdist(species_vector_two_patches, method = "bray"): you have empty rows: their dissimilarities may be
## meaningless in method "bray"## Warning in vegdist(species_vector_two_patches, method = "jaccard"): you have empty rows: their dissimilarities may be
## meaningless in method "jaccard"## Warning in vegdist(species_vector_two_patches, method = "bray"): you have empty rows: their dissimilarities may be
## meaningless in method "bray"## Warning in vegdist(species_vector_two_patches, method = "jaccard"): you have empty rows: their dissimilarities may be
## meaningless in method "jaccard"## Warning in vegdist(species_vector_two_patches, method = "bray"): you have empty rows: their dissimilarities may be
## meaningless in method "bray"## Warning in vegdist(species_vector_two_patches, method = "jaccard"): you have empty rows: their dissimilarities may be
## meaningless in method "jaccard"## Warning in vegdist(species_vector_two_patches, method = "bray"): you have empty rows: their dissimilarities may be
## meaningless in method "bray"## Warning in vegdist(species_vector_two_patches, method = "jaccard"): you have empty rows: their dissimilarities may be
## meaningless in method "jaccard"## Warning in vegdist(species_vector_two_patches, method = "bray"): you have empty rows: their dissimilarities may be
## meaningless in method "bray"## Warning in vegdist(species_vector_two_patches, method = "jaccard"): you have empty rows: their dissimilarities may be
## meaningless in method "jaccard"## Warning in vegdist(species_vector_two_patches, method = "bray"): you have empty rows: their dissimilarities may be
## meaningless in method "bray"## Warning in vegdist(species_vector_two_patches, method = "jaccard"): you have empty rows: their dissimilarities may be
## meaningless in method "jaccard"## Warning in vegdist(species_vector_two_patches, method = "bray"): you have empty rows: their dissimilarities may be
## meaningless in method "bray"## Warning in vegdist(species_vector_two_patches, method = "jaccard"): you have empty rows: their dissimilarities may be
## meaningless in method "jaccard"## Warning in vegdist(species_vector_two_patches, method = "bray"): you have empty rows: their dissimilarities may be
## meaningless in method "bray"## Warning in vegdist(species_vector_two_patches, method = "jaccard"): you have empty rows: their dissimilarities may be
## meaningless in method "jaccard"## Warning in vegdist(species_vector_two_patches, method = "bray"): you have empty rows: their dissimilarities may be
## meaningless in method "bray"## Warning in vegdist(species_vector_two_patches, method = "jaccard"): you have empty rows: their dissimilarities may be
## meaningless in method "jaccard"## Warning in vegdist(species_vector_two_patches, method = "bray"): you have empty rows: their dissimilarities may be
## meaningless in method "bray"## Warning in vegdist(species_vector_two_patches, method = "jaccard"): you have empty rows: their dissimilarities may be
## meaningless in method "jaccard"## Warning in vegdist(species_vector_two_patches, method = "bray"): you have empty rows: their dissimilarities may be
## meaningless in method "bray"## Warning in vegdist(species_vector_two_patches, method = "jaccard"): you have empty rows: their dissimilarities may be
## meaningless in method "jaccard"## Warning in vegdist(species_vector_two_patches, method = "bray"): you have empty rows: their dissimilarities may be
## meaningless in method "bray"## Warning in vegdist(species_vector_two_patches, method = "jaccard"): you have empty rows: their dissimilarities may be
## meaningless in method "jaccard"## Warning in vegdist(species_vector_two_patches, method = "bray"): you have empty rows: their dissimilarities may be
## meaningless in method "bray"## Warning in vegdist(species_vector_two_patches, method = "jaccard"): you have empty rows: their dissimilarities may be
## meaningless in method "jaccard"## Warning in vegdist(species_vector_two_patches, method = "jaccard"): missing
## values in results## Warning in vegdist(species_vector_two_patches, method = "bray"): you have empty rows: their dissimilarities may be
## meaningless in method "bray"## Warning in vegdist(species_vector_two_patches, method = "bray"): missing values
## in results## Warning in vegdist(species_vector_two_patches, method = "jaccard"): you have empty rows: their dissimilarities may be
## meaningless in method "jaccard"## Warning in vegdist(species_vector_two_patches, method = "jaccard"): missing
## values in results## Warning in vegdist(species_vector_two_patches, method = "bray"): you have empty rows: their dissimilarities may be
## meaningless in method "bray"## Warning in vegdist(species_vector_two_patches, method = "bray"): missing values
## in results## Warning in vegdist(species_vector_two_patches, method = "jaccard"): you have empty rows: their dissimilarities may be
## meaningless in method "jaccard"## Warning in vegdist(species_vector_two_patches, method = "bray"): you have empty rows: their dissimilarities may be
## meaningless in method "bray"## Warning in vegdist(species_vector_two_patches, method = "jaccard"): you have empty rows: their dissimilarities may be
## meaningless in method "jaccard"## Warning in vegdist(species_vector_two_patches, method = "bray"): you have empty rows: their dissimilarities may be
## meaningless in method "bray"expect_equal(nrow(ds_metaecosystems),
n_time_points * n_patches_combinations)#Add column connection
ds_metaecosystems$connection <-
ifelse(
ds_metaecosystems$metaecosystem_type %in% c("Medium-Medium isolated",
"Small-Large isolated"),
yes = "isolated",
no = "connected"
)#Add column patch size symmetry
ds_metaecosystems$patch_size_symmetry <-
ifelse(
ds_metaecosystems$metaecosystem_type %in% c("Small-Large isolated",
"Small-Large meta-ecosystem"),
yes = "asymmetric",
no = "symmetric"
)#Reorder the meta-ecosystems
ds_metaecosystems = ds_metaecosystems %>%
mutate(metaecosystem_type = factor(metaecosystem_type,
levels = metaecosystem_types_ordered))#Add baselines. See ds_patches for an explanation.
baselines <- ds_metaecosystems %>%
filter(time_point == 1) %>%
group_by(system_nr) %>%
summarise(across(all_of(variables_metaecos), .names = "baseline_{.col}"))
n_rows_ds_metaecosystems_before_join = nrow(ds_metaecosystems)
ds_metaecosystems = full_join(ds_metaecosystems, baselines)
expect_equal(nrow(ds_metaecosystems),
n_rows_ds_metaecosystems_before_join)#Join ...
full_join(ds_metaecosystems,
isolated_combinations_sets)## Warning in full_join(ds_metaecosystems, isolated_combinations_sets): Detected an unexpected many-to-many relationship between `x` and `y`.
## ℹ Row 1 of `x` matches multiple rows in `y`.
## ℹ Row 1 of `y` matches multiple rows in `x`.
## ℹ If a many-to-many relationship is expected, set `relationship =
## "many-to-many"` to silence this warning.## time_point day system_nr patches_combined disturbance metaecosystem_type
## 1 0 0 1001 1|11 low Small-Large isolated
## 2 0 0 1001 1|11 low Small-Large isolated
## 3 0 0 1001 1|11 low Small-Large isolated
## 4 0 0 1001 1|11 low Small-Large isolated
## 5 0 0 1001 1|11 low Small-Large isolated
## 6 0 0 1001 1|11 low Small-Large isolated
## 7 0 0 1001 1|11 low Small-Large isolated
## 8 0 0 1001 1|11 low Small-Large isolated
## 9 0 0 1001 1|11 low Small-Large isolated
## 10 0 0 1001 1|11 low Small-Large isolated
## 11 0 0 1001 1|11 low Small-Large isolated
## 12 0 0 1001 1|11 low Small-Large isolated
## 13 0 0 1001 1|11 low Small-Large isolated
## 14 0 0 1001 1|11 low Small-Large isolated
## 15 0 0 1001 1|11 low Small-Large isolated
## 16 0 0 1001 1|11 low Small-Large isolated
## 17 0 0 1001 1|11 low Small-Large isolated
## 18 0 0 1001 1|11 low Small-Large isolated
## 19 0 0 1001 1|11 low Small-Large isolated
## 20 0 0 1001 1|11 low Small-Large isolated
## 21 0 0 1001 1|11 low Small-Large isolated
## 22 0 0 1001 1|11 low Small-Large isolated
## 23 0 0 1001 1|11 low Small-Large isolated
## 24 0 0 1001 1|11 low Small-Large isolated
## 25 1 4 1001 1|11 low Small-Large isolated
## 26 1 4 1001 1|11 low Small-Large isolated
## 27 1 4 1001 1|11 low Small-Large isolated
## 28 1 4 1001 1|11 low Small-Large isolated
## 29 1 4 1001 1|11 low Small-Large isolated
## 30 1 4 1001 1|11 low Small-Large isolated
## 31 1 4 1001 1|11 low Small-Large isolated
## 32 1 4 1001 1|11 low Small-Large isolated
## 33 1 4 1001 1|11 low Small-Large isolated
## 34 1 4 1001 1|11 low Small-Large isolated
## 35 1 4 1001 1|11 low Small-Large isolated
## 36 1 4 1001 1|11 low Small-Large isolated
## 37 1 4 1001 1|11 low Small-Large isolated
## 38 1 4 1001 1|11 low Small-Large isolated
## 39 1 4 1001 1|11 low Small-Large isolated
## 40 1 4 1001 1|11 low Small-Large isolated
## 41 1 4 1001 1|11 low Small-Large isolated
## 42 1 4 1001 1|11 low Small-Large isolated
## 43 1 4 1001 1|11 low Small-Large isolated
## 44 1 4 1001 1|11 low Small-Large isolated
## 45 1 4 1001 1|11 low Small-Large isolated
## 46 1 4 1001 1|11 low Small-Large isolated
## 47 1 4 1001 1|11 low Small-Large isolated
## 48 1 4 1001 1|11 low Small-Large isolated
## 49 2 8 1001 1|11 low Small-Large isolated
## 50 2 8 1001 1|11 low Small-Large isolated
## 51 2 8 1001 1|11 low Small-Large isolated
## 52 2 8 1001 1|11 low Small-Large isolated
## 53 2 8 1001 1|11 low Small-Large isolated
## 54 2 8 1001 1|11 low Small-Large isolated
## 55 2 8 1001 1|11 low Small-Large isolated
## 56 2 8 1001 1|11 low Small-Large isolated
## 57 2 8 1001 1|11 low Small-Large isolated
## 58 2 8 1001 1|11 low Small-Large isolated
## 59 2 8 1001 1|11 low Small-Large isolated
## 60 2 8 1001 1|11 low Small-Large isolated
## 61 2 8 1001 1|11 low Small-Large isolated
## 62 2 8 1001 1|11 low Small-Large isolated
## 63 2 8 1001 1|11 low Small-Large isolated
## 64 2 8 1001 1|11 low Small-Large isolated
## 65 2 8 1001 1|11 low Small-Large isolated
## 66 2 8 1001 1|11 low Small-Large isolated
## 67 2 8 1001 1|11 low Small-Large isolated
## 68 2 8 1001 1|11 low Small-Large isolated
## 69 2 8 1001 1|11 low Small-Large isolated
## 70 2 8 1001 1|11 low Small-Large isolated
## 71 2 8 1001 1|11 low Small-Large isolated
## 72 2 8 1001 1|11 low Small-Large isolated
## 73 3 12 1001 1|11 low Small-Large isolated
## 74 3 12 1001 1|11 low Small-Large isolated
## 75 3 12 1001 1|11 low Small-Large isolated
## 76 3 12 1001 1|11 low Small-Large isolated
## 77 3 12 1001 1|11 low Small-Large isolated
## 78 3 12 1001 1|11 low Small-Large isolated
## 79 3 12 1001 1|11 low Small-Large isolated
## 80 3 12 1001 1|11 low Small-Large isolated
## 81 3 12 1001 1|11 low Small-Large isolated
## 82 3 12 1001 1|11 low Small-Large isolated
## 83 3 12 1001 1|11 low Small-Large isolated
## 84 3 12 1001 1|11 low Small-Large isolated
## 85 3 12 1001 1|11 low Small-Large isolated
## 86 3 12 1001 1|11 low Small-Large isolated
## 87 3 12 1001 1|11 low Small-Large isolated
## 88 3 12 1001 1|11 low Small-Large isolated
## 89 3 12 1001 1|11 low Small-Large isolated
## 90 3 12 1001 1|11 low Small-Large isolated
## 91 3 12 1001 1|11 low Small-Large isolated
## 92 3 12 1001 1|11 low Small-Large isolated
## 93 3 12 1001 1|11 low Small-Large isolated
## 94 3 12 1001 1|11 low Small-Large isolated
## 95 3 12 1001 1|11 low Small-Large isolated
## 96 3 12 1001 1|11 low Small-Large isolated
## 97 4 16 1001 1|11 low Small-Large isolated
## 98 4 16 1001 1|11 low Small-Large isolated
## 99 4 16 1001 1|11 low Small-Large isolated
## 100 4 16 1001 1|11 low Small-Large isolated
## 101 4 16 1001 1|11 low Small-Large isolated
## 102 4 16 1001 1|11 low Small-Large isolated
## 103 4 16 1001 1|11 low Small-Large isolated
## 104 4 16 1001 1|11 low Small-Large isolated
## 105 4 16 1001 1|11 low Small-Large isolated
## 106 4 16 1001 1|11 low Small-Large isolated
## 107 4 16 1001 1|11 low Small-Large isolated
## 108 4 16 1001 1|11 low Small-Large isolated
## 109 4 16 1001 1|11 low Small-Large isolated
## 110 4 16 1001 1|11 low Small-Large isolated
## 111 4 16 1001 1|11 low Small-Large isolated
## 112 4 16 1001 1|11 low Small-Large isolated
## 113 4 16 1001 1|11 low Small-Large isolated
## 114 4 16 1001 1|11 low Small-Large isolated
## 115 4 16 1001 1|11 low Small-Large isolated
## 116 4 16 1001 1|11 low Small-Large isolated
## 117 4 16 1001 1|11 low Small-Large isolated
## 118 4 16 1001 1|11 low Small-Large isolated
## 119 4 16 1001 1|11 low Small-Large isolated
## 120 4 16 1001 1|11 low Small-Large isolated
## 121 5 20 1001 1|11 low Small-Large isolated
## 122 5 20 1001 1|11 low Small-Large isolated
## 123 5 20 1001 1|11 low Small-Large isolated
## 124 5 20 1001 1|11 low Small-Large isolated
## 125 5 20 1001 1|11 low Small-Large isolated
## 126 5 20 1001 1|11 low Small-Large isolated
## 127 5 20 1001 1|11 low Small-Large isolated
## 128 5 20 1001 1|11 low Small-Large isolated
## 129 5 20 1001 1|11 low Small-Large isolated
## 130 5 20 1001 1|11 low Small-Large isolated
## 131 5 20 1001 1|11 low Small-Large isolated
## 132 5 20 1001 1|11 low Small-Large isolated
## 133 5 20 1001 1|11 low Small-Large isolated
## 134 5 20 1001 1|11 low Small-Large isolated
## 135 5 20 1001 1|11 low Small-Large isolated
## 136 5 20 1001 1|11 low Small-Large isolated
## 137 5 20 1001 1|11 low Small-Large isolated
## 138 5 20 1001 1|11 low Small-Large isolated
## 139 5 20 1001 1|11 low Small-Large isolated
## 140 5 20 1001 1|11 low Small-Large isolated
## 141 5 20 1001 1|11 low Small-Large isolated
## 142 5 20 1001 1|11 low Small-Large isolated
## 143 5 20 1001 1|11 low Small-Large isolated
## 144 5 20 1001 1|11 low Small-Large isolated
## 145 6 24 1001 1|11 low Small-Large isolated
## 146 6 24 1001 1|11 low Small-Large isolated
## 147 6 24 1001 1|11 low Small-Large isolated
## 148 6 24 1001 1|11 low Small-Large isolated
## 149 6 24 1001 1|11 low Small-Large isolated
## 150 6 24 1001 1|11 low Small-Large isolated
## 151 6 24 1001 1|11 low Small-Large isolated
## 152 6 24 1001 1|11 low Small-Large isolated
## 153 6 24 1001 1|11 low Small-Large isolated
## 154 6 24 1001 1|11 low Small-Large isolated
## 155 6 24 1001 1|11 low Small-Large isolated
## 156 6 24 1001 1|11 low Small-Large isolated
## 157 6 24 1001 1|11 low Small-Large isolated
## 158 6 24 1001 1|11 low Small-Large isolated
## 159 6 24 1001 1|11 low Small-Large isolated
## 160 6 24 1001 1|11 low Small-Large isolated
## 161 6 24 1001 1|11 low Small-Large isolated
## 162 6 24 1001 1|11 low Small-Large isolated
## 163 6 24 1001 1|11 low Small-Large isolated
## 164 6 24 1001 1|11 low Small-Large isolated
## 165 6 24 1001 1|11 low Small-Large isolated
## 166 6 24 1001 1|11 low Small-Large isolated
## 167 6 24 1001 1|11 low Small-Large isolated
## 168 6 24 1001 1|11 low Small-Large isolated
## 169 7 28 1001 1|11 low Small-Large isolated
## 170 7 28 1001 1|11 low Small-Large isolated
## 171 7 28 1001 1|11 low Small-Large isolated
## 172 7 28 1001 1|11 low Small-Large isolated
## 173 7 28 1001 1|11 low Small-Large isolated
## 174 7 28 1001 1|11 low Small-Large isolated
## 175 7 28 1001 1|11 low Small-Large isolated
## 176 7 28 1001 1|11 low Small-Large isolated
## 177 7 28 1001 1|11 low Small-Large isolated
## 178 7 28 1001 1|11 low Small-Large isolated
## 179 7 28 1001 1|11 low Small-Large isolated
## 180 7 28 1001 1|11 low Small-Large isolated
## 181 7 28 1001 1|11 low Small-Large isolated
## 182 7 28 1001 1|11 low Small-Large isolated
## 183 7 28 1001 1|11 low Small-Large isolated
## 184 7 28 1001 1|11 low Small-Large isolated
## 185 7 28 1001 1|11 low Small-Large isolated
## 186 7 28 1001 1|11 low Small-Large isolated
## 187 7 28 1001 1|11 low Small-Large isolated
## 188 7 28 1001 1|11 low Small-Large isolated
## 189 7 28 1001 1|11 low Small-Large isolated
## 190 7 28 1001 1|11 low Small-Large isolated
## 191 7 28 1001 1|11 low Small-Large isolated
## 192 7 28 1001 1|11 low Small-Large isolated
## 193 0 0 1002 1|12 low Small-Large isolated
## 194 0 0 1002 1|12 low Small-Large isolated
## 195 0 0 1002 1|12 low Small-Large isolated
## 196 0 0 1002 1|12 low Small-Large isolated
## 197 0 0 1002 1|12 low Small-Large isolated
## 198 0 0 1002 1|12 low Small-Large isolated
## 199 0 0 1002 1|12 low Small-Large isolated
## 200 0 0 1002 1|12 low Small-Large isolated
## 201 0 0 1002 1|12 low Small-Large isolated
## 202 0 0 1002 1|12 low Small-Large isolated
## 203 0 0 1002 1|12 low Small-Large isolated
## 204 0 0 1002 1|12 low Small-Large isolated
## 205 0 0 1002 1|12 low Small-Large isolated
## 206 0 0 1002 1|12 low Small-Large isolated
## 207 0 0 1002 1|12 low Small-Large isolated
## 208 0 0 1002 1|12 low Small-Large isolated
## 209 0 0 1002 1|12 low Small-Large isolated
## 210 0 0 1002 1|12 low Small-Large isolated
## 211 0 0 1002 1|12 low Small-Large isolated
## 212 0 0 1002 1|12 low Small-Large isolated
## 213 0 0 1002 1|12 low Small-Large isolated
## 214 0 0 1002 1|12 low Small-Large isolated
## 215 0 0 1002 1|12 low Small-Large isolated
## 216 0 0 1002 1|12 low Small-Large isolated
## 217 1 4 1002 1|12 low Small-Large isolated
## 218 1 4 1002 1|12 low Small-Large isolated
## 219 1 4 1002 1|12 low Small-Large isolated
## 220 1 4 1002 1|12 low Small-Large isolated
## 221 1 4 1002 1|12 low Small-Large isolated
## 222 1 4 1002 1|12 low Small-Large isolated
## 223 1 4 1002 1|12 low Small-Large isolated
## 224 1 4 1002 1|12 low Small-Large isolated
## 225 1 4 1002 1|12 low Small-Large isolated
## 226 1 4 1002 1|12 low Small-Large isolated
## 227 1 4 1002 1|12 low Small-Large isolated
## 228 1 4 1002 1|12 low Small-Large isolated
## 229 1 4 1002 1|12 low Small-Large isolated
## 230 1 4 1002 1|12 low Small-Large isolated
## 231 1 4 1002 1|12 low Small-Large isolated
## 232 1 4 1002 1|12 low Small-Large isolated
## 233 1 4 1002 1|12 low Small-Large isolated
## 234 1 4 1002 1|12 low Small-Large isolated
## 235 1 4 1002 1|12 low Small-Large isolated
## 236 1 4 1002 1|12 low Small-Large isolated
## 237 1 4 1002 1|12 low Small-Large isolated
## 238 1 4 1002 1|12 low Small-Large isolated
## 239 1 4 1002 1|12 low Small-Large isolated
## 240 1 4 1002 1|12 low Small-Large isolated
## 241 2 8 1002 1|12 low Small-Large isolated
## 242 2 8 1002 1|12 low Small-Large isolated
## 243 2 8 1002 1|12 low Small-Large isolated
## 244 2 8 1002 1|12 low Small-Large isolated
## 245 2 8 1002 1|12 low Small-Large isolated
## 246 2 8 1002 1|12 low Small-Large isolated
## 247 2 8 1002 1|12 low Small-Large isolated
## 248 2 8 1002 1|12 low Small-Large isolated
## 249 2 8 1002 1|12 low Small-Large isolated
## 250 2 8 1002 1|12 low Small-Large isolated
## 251 2 8 1002 1|12 low Small-Large isolated
## 252 2 8 1002 1|12 low Small-Large isolated
## 253 2 8 1002 1|12 low Small-Large isolated
## 254 2 8 1002 1|12 low Small-Large isolated
## 255 2 8 1002 1|12 low Small-Large isolated
## 256 2 8 1002 1|12 low Small-Large isolated
## 257 2 8 1002 1|12 low Small-Large isolated
## 258 2 8 1002 1|12 low Small-Large isolated
## 259 2 8 1002 1|12 low Small-Large isolated
## 260 2 8 1002 1|12 low Small-Large isolated
## 261 2 8 1002 1|12 low Small-Large isolated
## 262 2 8 1002 1|12 low Small-Large isolated
## 263 2 8 1002 1|12 low Small-Large isolated
## 264 2 8 1002 1|12 low Small-Large isolated
## 265 3 12 1002 1|12 low Small-Large isolated
## 266 3 12 1002 1|12 low Small-Large isolated
## 267 3 12 1002 1|12 low Small-Large isolated
## 268 3 12 1002 1|12 low Small-Large isolated
## 269 3 12 1002 1|12 low Small-Large isolated
## 270 3 12 1002 1|12 low Small-Large isolated
## 271 3 12 1002 1|12 low Small-Large isolated
## 272 3 12 1002 1|12 low Small-Large isolated
## 273 3 12 1002 1|12 low Small-Large isolated
## 274 3 12 1002 1|12 low Small-Large isolated
## 275 3 12 1002 1|12 low Small-Large isolated
## 276 3 12 1002 1|12 low Small-Large isolated
## 277 3 12 1002 1|12 low Small-Large isolated
## 278 3 12 1002 1|12 low Small-Large isolated
## 279 3 12 1002 1|12 low Small-Large isolated
## 280 3 12 1002 1|12 low Small-Large isolated
## 281 3 12 1002 1|12 low Small-Large isolated
## 282 3 12 1002 1|12 low Small-Large isolated
## 283 3 12 1002 1|12 low Small-Large isolated
## 284 3 12 1002 1|12 low Small-Large isolated
## 285 3 12 1002 1|12 low Small-Large isolated
## 286 3 12 1002 1|12 low Small-Large isolated
## 287 3 12 1002 1|12 low Small-Large isolated
## 288 3 12 1002 1|12 low Small-Large isolated
## 289 4 16 1002 1|12 low Small-Large isolated
## 290 4 16 1002 1|12 low Small-Large isolated
## 291 4 16 1002 1|12 low Small-Large isolated
## 292 4 16 1002 1|12 low Small-Large isolated
## 293 4 16 1002 1|12 low Small-Large isolated
## 294 4 16 1002 1|12 low Small-Large isolated
## 295 4 16 1002 1|12 low Small-Large isolated
## 296 4 16 1002 1|12 low Small-Large isolated
## 297 4 16 1002 1|12 low Small-Large isolated
## 298 4 16 1002 1|12 low Small-Large isolated
## 299 4 16 1002 1|12 low Small-Large isolated
## 300 4 16 1002 1|12 low Small-Large isolated
## 301 4 16 1002 1|12 low Small-Large isolated
## 302 4 16 1002 1|12 low Small-Large isolated
## 303 4 16 1002 1|12 low Small-Large isolated
## 304 4 16 1002 1|12 low Small-Large isolated
## 305 4 16 1002 1|12 low Small-Large isolated
## 306 4 16 1002 1|12 low Small-Large isolated
## 307 4 16 1002 1|12 low Small-Large isolated
## 308 4 16 1002 1|12 low Small-Large isolated
## 309 4 16 1002 1|12 low Small-Large isolated
## 310 4 16 1002 1|12 low Small-Large isolated
## 311 4 16 1002 1|12 low Small-Large isolated
## 312 4 16 1002 1|12 low Small-Large isolated
## 313 5 20 1002 1|12 low Small-Large isolated
## 314 5 20 1002 1|12 low Small-Large isolated
## 315 5 20 1002 1|12 low Small-Large isolated
## 316 5 20 1002 1|12 low Small-Large isolated
## 317 5 20 1002 1|12 low Small-Large isolated
## 318 5 20 1002 1|12 low Small-Large isolated
## 319 5 20 1002 1|12 low Small-Large isolated
## 320 5 20 1002 1|12 low Small-Large isolated
## 321 5 20 1002 1|12 low Small-Large isolated
## 322 5 20 1002 1|12 low Small-Large isolated
## 323 5 20 1002 1|12 low Small-Large isolated
## 324 5 20 1002 1|12 low Small-Large isolated
## 325 5 20 1002 1|12 low Small-Large isolated
## 326 5 20 1002 1|12 low Small-Large isolated
## 327 5 20 1002 1|12 low Small-Large isolated
## 328 5 20 1002 1|12 low Small-Large isolated
## 329 5 20 1002 1|12 low Small-Large isolated
## 330 5 20 1002 1|12 low Small-Large isolated
## 331 5 20 1002 1|12 low Small-Large isolated
## 332 5 20 1002 1|12 low Small-Large isolated
## 333 5 20 1002 1|12 low Small-Large isolated
## 334 5 20 1002 1|12 low Small-Large isolated
## 335 5 20 1002 1|12 low Small-Large isolated
## 336 5 20 1002 1|12 low Small-Large isolated
## 337 6 24 1002 1|12 low Small-Large isolated
## 338 6 24 1002 1|12 low Small-Large isolated
## 339 6 24 1002 1|12 low Small-Large isolated
## 340 6 24 1002 1|12 low Small-Large isolated
## 341 6 24 1002 1|12 low Small-Large isolated
## 342 6 24 1002 1|12 low Small-Large isolated
## 343 6 24 1002 1|12 low Small-Large isolated
## 344 6 24 1002 1|12 low Small-Large isolated
## 345 6 24 1002 1|12 low Small-Large isolated
## 346 6 24 1002 1|12 low Small-Large isolated
## 347 6 24 1002 1|12 low Small-Large isolated
## 348 6 24 1002 1|12 low Small-Large isolated
## 349 6 24 1002 1|12 low Small-Large isolated
## 350 6 24 1002 1|12 low Small-Large isolated
## 351 6 24 1002 1|12 low Small-Large isolated
## 352 6 24 1002 1|12 low Small-Large isolated
## 353 6 24 1002 1|12 low Small-Large isolated
## 354 6 24 1002 1|12 low Small-Large isolated
## 355 6 24 1002 1|12 low Small-Large isolated
## 356 6 24 1002 1|12 low Small-Large isolated
## 357 6 24 1002 1|12 low Small-Large isolated
## 358 6 24 1002 1|12 low Small-Large isolated
## 359 6 24 1002 1|12 low Small-Large isolated
## 360 6 24 1002 1|12 low Small-Large isolated
## 361 7 28 1002 1|12 low Small-Large isolated
## 362 7 28 1002 1|12 low Small-Large isolated
## 363 7 28 1002 1|12 low Small-Large isolated
## 364 7 28 1002 1|12 low Small-Large isolated
## 365 7 28 1002 1|12 low Small-Large isolated
## 366 7 28 1002 1|12 low Small-Large isolated
## 367 7 28 1002 1|12 low Small-Large isolated
## 368 7 28 1002 1|12 low Small-Large isolated
## 369 7 28 1002 1|12 low Small-Large isolated
## 370 7 28 1002 1|12 low Small-Large isolated
## 371 7 28 1002 1|12 low Small-Large isolated
## 372 7 28 1002 1|12 low Small-Large isolated
## 373 7 28 1002 1|12 low Small-Large isolated
## 374 7 28 1002 1|12 low Small-Large isolated
## 375 7 28 1002 1|12 low Small-Large isolated
## 376 7 28 1002 1|12 low Small-Large isolated
## 377 7 28 1002 1|12 low Small-Large isolated
## 378 7 28 1002 1|12 low Small-Large isolated
## 379 7 28 1002 1|12 low Small-Large isolated
## 380 7 28 1002 1|12 low Small-Large isolated
## 381 7 28 1002 1|12 low Small-Large isolated
## 382 7 28 1002 1|12 low Small-Large isolated
## 383 7 28 1002 1|12 low Small-Large isolated
## 384 7 28 1002 1|12 low Small-Large isolated
## 385 0 0 1003 1|13 low Small-Large isolated
## 386 0 0 1003 1|13 low Small-Large isolated
## 387 0 0 1003 1|13 low Small-Large isolated
## 388 0 0 1003 1|13 low Small-Large isolated
## 389 0 0 1003 1|13 low Small-Large isolated
## 390 0 0 1003 1|13 low Small-Large isolated
## 391 0 0 1003 1|13 low Small-Large isolated
## 392 0 0 1003 1|13 low Small-Large isolated
## 393 0 0 1003 1|13 low Small-Large isolated
## 394 0 0 1003 1|13 low Small-Large isolated
## 395 0 0 1003 1|13 low Small-Large isolated
## 396 0 0 1003 1|13 low Small-Large isolated
## 397 0 0 1003 1|13 low Small-Large isolated
## 398 0 0 1003 1|13 low Small-Large isolated
## 399 0 0 1003 1|13 low Small-Large isolated
## 400 0 0 1003 1|13 low Small-Large isolated
## 401 0 0 1003 1|13 low Small-Large isolated
## 402 0 0 1003 1|13 low Small-Large isolated
## 403 0 0 1003 1|13 low Small-Large isolated
## 404 0 0 1003 1|13 low Small-Large isolated
## 405 0 0 1003 1|13 low Small-Large isolated
## 406 0 0 1003 1|13 low Small-Large isolated
## 407 0 0 1003 1|13 low Small-Large isolated
## 408 0 0 1003 1|13 low Small-Large isolated
## 409 1 4 1003 1|13 low Small-Large isolated
## 410 1 4 1003 1|13 low Small-Large isolated
## 411 1 4 1003 1|13 low Small-Large isolated
## 412 1 4 1003 1|13 low Small-Large isolated
## 413 1 4 1003 1|13 low Small-Large isolated
## 414 1 4 1003 1|13 low Small-Large isolated
## 415 1 4 1003 1|13 low Small-Large isolated
## 416 1 4 1003 1|13 low Small-Large isolated
## 417 1 4 1003 1|13 low Small-Large isolated
## 418 1 4 1003 1|13 low Small-Large isolated
## 419 1 4 1003 1|13 low Small-Large isolated
## 420 1 4 1003 1|13 low Small-Large isolated
## 421 1 4 1003 1|13 low Small-Large isolated
## 422 1 4 1003 1|13 low Small-Large isolated
## 423 1 4 1003 1|13 low Small-Large isolated
## 424 1 4 1003 1|13 low Small-Large isolated
## 425 1 4 1003 1|13 low Small-Large isolated
## 426 1 4 1003 1|13 low Small-Large isolated
## 427 1 4 1003 1|13 low Small-Large isolated
## 428 1 4 1003 1|13 low Small-Large isolated
## 429 1 4 1003 1|13 low Small-Large isolated
## 430 1 4 1003 1|13 low Small-Large isolated
## 431 1 4 1003 1|13 low Small-Large isolated
## 432 1 4 1003 1|13 low Small-Large isolated
## 433 2 8 1003 1|13 low Small-Large isolated
## 434 2 8 1003 1|13 low Small-Large isolated
## 435 2 8 1003 1|13 low Small-Large isolated
## 436 2 8 1003 1|13 low Small-Large isolated
## 437 2 8 1003 1|13 low Small-Large isolated
## 438 2 8 1003 1|13 low Small-Large isolated
## 439 2 8 1003 1|13 low Small-Large isolated
## 440 2 8 1003 1|13 low Small-Large isolated
## 441 2 8 1003 1|13 low Small-Large isolated
## 442 2 8 1003 1|13 low Small-Large isolated
## 443 2 8 1003 1|13 low Small-Large isolated
## 444 2 8 1003 1|13 low Small-Large isolated
## 445 2 8 1003 1|13 low Small-Large isolated
## 446 2 8 1003 1|13 low Small-Large isolated
## 447 2 8 1003 1|13 low Small-Large isolated
## 448 2 8 1003 1|13 low Small-Large isolated
## 449 2 8 1003 1|13 low Small-Large isolated
## 450 2 8 1003 1|13 low Small-Large isolated
## 451 2 8 1003 1|13 low Small-Large isolated
## 452 2 8 1003 1|13 low Small-Large isolated
## 453 2 8 1003 1|13 low Small-Large isolated
## 454 2 8 1003 1|13 low Small-Large isolated
## 455 2 8 1003 1|13 low Small-Large isolated
## 456 2 8 1003 1|13 low Small-Large isolated
## 457 3 12 1003 1|13 low Small-Large isolated
## 458 3 12 1003 1|13 low Small-Large isolated
## 459 3 12 1003 1|13 low Small-Large isolated
## 460 3 12 1003 1|13 low Small-Large isolated
## 461 3 12 1003 1|13 low Small-Large isolated
## 462 3 12 1003 1|13 low Small-Large isolated
## 463 3 12 1003 1|13 low Small-Large isolated
## 464 3 12 1003 1|13 low Small-Large isolated
## 465 3 12 1003 1|13 low Small-Large isolated
## 466 3 12 1003 1|13 low Small-Large isolated
## 467 3 12 1003 1|13 low Small-Large isolated
## 468 3 12 1003 1|13 low Small-Large isolated
## 469 3 12 1003 1|13 low Small-Large isolated
## 470 3 12 1003 1|13 low Small-Large isolated
## 471 3 12 1003 1|13 low Small-Large isolated
## 472 3 12 1003 1|13 low Small-Large isolated
## 473 3 12 1003 1|13 low Small-Large isolated
## 474 3 12 1003 1|13 low Small-Large isolated
## 475 3 12 1003 1|13 low Small-Large isolated
## 476 3 12 1003 1|13 low Small-Large isolated
## 477 3 12 1003 1|13 low Small-Large isolated
## 478 3 12 1003 1|13 low Small-Large isolated
## 479 3 12 1003 1|13 low Small-Large isolated
## 480 3 12 1003 1|13 low Small-Large isolated
## 481 4 16 1003 1|13 low Small-Large isolated
## 482 4 16 1003 1|13 low Small-Large isolated
## 483 4 16 1003 1|13 low Small-Large isolated
## 484 4 16 1003 1|13 low Small-Large isolated
## 485 4 16 1003 1|13 low Small-Large isolated
## 486 4 16 1003 1|13 low Small-Large isolated
## 487 4 16 1003 1|13 low Small-Large isolated
## 488 4 16 1003 1|13 low Small-Large isolated
## 489 4 16 1003 1|13 low Small-Large isolated
## 490 4 16 1003 1|13 low Small-Large isolated
## 491 4 16 1003 1|13 low Small-Large isolated
## 492 4 16 1003 1|13 low Small-Large isolated
## 493 4 16 1003 1|13 low Small-Large isolated
## 494 4 16 1003 1|13 low Small-Large isolated
## 495 4 16 1003 1|13 low Small-Large isolated
## 496 4 16 1003 1|13 low Small-Large isolated
## 497 4 16 1003 1|13 low Small-Large isolated
## 498 4 16 1003 1|13 low Small-Large isolated
## 499 4 16 1003 1|13 low Small-Large isolated
## 500 4 16 1003 1|13 low Small-Large isolated
## 501 4 16 1003 1|13 low Small-Large isolated
## 502 4 16 1003 1|13 low Small-Large isolated
## 503 4 16 1003 1|13 low Small-Large isolated
## 504 4 16 1003 1|13 low Small-Large isolated
## 505 5 20 1003 1|13 low Small-Large isolated
## 506 5 20 1003 1|13 low Small-Large isolated
## 507 5 20 1003 1|13 low Small-Large isolated
## 508 5 20 1003 1|13 low Small-Large isolated
## 509 5 20 1003 1|13 low Small-Large isolated
## 510 5 20 1003 1|13 low Small-Large isolated
## 511 5 20 1003 1|13 low Small-Large isolated
## 512 5 20 1003 1|13 low Small-Large isolated
## 513 5 20 1003 1|13 low Small-Large isolated
## 514 5 20 1003 1|13 low Small-Large isolated
## 515 5 20 1003 1|13 low Small-Large isolated
## 516 5 20 1003 1|13 low Small-Large isolated
## 517 5 20 1003 1|13 low Small-Large isolated
## 518 5 20 1003 1|13 low Small-Large isolated
## 519 5 20 1003 1|13 low Small-Large isolated
## 520 5 20 1003 1|13 low Small-Large isolated
## 521 5 20 1003 1|13 low Small-Large isolated
## 522 5 20 1003 1|13 low Small-Large isolated
## 523 5 20 1003 1|13 low Small-Large isolated
## 524 5 20 1003 1|13 low Small-Large isolated
## 525 5 20 1003 1|13 low Small-Large isolated
## 526 5 20 1003 1|13 low Small-Large isolated
## 527 5 20 1003 1|13 low Small-Large isolated
## 528 5 20 1003 1|13 low Small-Large isolated
## 529 6 24 1003 1|13 low Small-Large isolated
## 530 6 24 1003 1|13 low Small-Large isolated
## 531 6 24 1003 1|13 low Small-Large isolated
## 532 6 24 1003 1|13 low Small-Large isolated
## 533 6 24 1003 1|13 low Small-Large isolated
## 534 6 24 1003 1|13 low Small-Large isolated
## 535 6 24 1003 1|13 low Small-Large isolated
## 536 6 24 1003 1|13 low Small-Large isolated
## 537 6 24 1003 1|13 low Small-Large isolated
## 538 6 24 1003 1|13 low Small-Large isolated
## 539 6 24 1003 1|13 low Small-Large isolated
## 540 6 24 1003 1|13 low Small-Large isolated
## 541 6 24 1003 1|13 low Small-Large isolated
## 542 6 24 1003 1|13 low Small-Large isolated
## 543 6 24 1003 1|13 low Small-Large isolated
## 544 6 24 1003 1|13 low Small-Large isolated
## 545 6 24 1003 1|13 low Small-Large isolated
## 546 6 24 1003 1|13 low Small-Large isolated
## 547 6 24 1003 1|13 low Small-Large isolated
## 548 6 24 1003 1|13 low Small-Large isolated
## 549 6 24 1003 1|13 low Small-Large isolated
## 550 6 24 1003 1|13 low Small-Large isolated
## 551 6 24 1003 1|13 low Small-Large isolated
## 552 6 24 1003 1|13 low Small-Large isolated
## 553 7 28 1003 1|13 low Small-Large isolated
## 554 7 28 1003 1|13 low Small-Large isolated
## 555 7 28 1003 1|13 low Small-Large isolated
## 556 7 28 1003 1|13 low Small-Large isolated
## 557 7 28 1003 1|13 low Small-Large isolated
## 558 7 28 1003 1|13 low Small-Large isolated
## 559 7 28 1003 1|13 low Small-Large isolated
## 560 7 28 1003 1|13 low Small-Large isolated
## 561 7 28 1003 1|13 low Small-Large isolated
## 562 7 28 1003 1|13 low Small-Large isolated
## 563 7 28 1003 1|13 low Small-Large isolated
## 564 7 28 1003 1|13 low Small-Large isolated
## 565 7 28 1003 1|13 low Small-Large isolated
## 566 7 28 1003 1|13 low Small-Large isolated
## 567 7 28 1003 1|13 low Small-Large isolated
## 568 7 28 1003 1|13 low Small-Large isolated
## 569 7 28 1003 1|13 low Small-Large isolated
## 570 7 28 1003 1|13 low Small-Large isolated
## 571 7 28 1003 1|13 low Small-Large isolated
## 572 7 28 1003 1|13 low Small-Large isolated
## 573 7 28 1003 1|13 low Small-Large isolated
## 574 7 28 1003 1|13 low Small-Large isolated
## 575 7 28 1003 1|13 low Small-Large isolated
## 576 7 28 1003 1|13 low Small-Large isolated
## 577 0 0 1004 1|14 low Small-Large isolated
## 578 0 0 1004 1|14 low Small-Large isolated
## 579 0 0 1004 1|14 low Small-Large isolated
## 580 0 0 1004 1|14 low Small-Large isolated
## 581 0 0 1004 1|14 low Small-Large isolated
## 582 0 0 1004 1|14 low Small-Large isolated
## 583 0 0 1004 1|14 low Small-Large isolated
## 584 0 0 1004 1|14 low Small-Large isolated
## 585 0 0 1004 1|14 low Small-Large isolated
## 586 0 0 1004 1|14 low Small-Large isolated
## 587 0 0 1004 1|14 low Small-Large isolated
## 588 0 0 1004 1|14 low Small-Large isolated
## 589 0 0 1004 1|14 low Small-Large isolated
## 590 0 0 1004 1|14 low Small-Large isolated
## 591 0 0 1004 1|14 low Small-Large isolated
## 592 0 0 1004 1|14 low Small-Large isolated
## 593 0 0 1004 1|14 low Small-Large isolated
## 594 0 0 1004 1|14 low Small-Large isolated
## 595 0 0 1004 1|14 low Small-Large isolated
## 596 0 0 1004 1|14 low Small-Large isolated
## 597 0 0 1004 1|14 low Small-Large isolated
## 598 0 0 1004 1|14 low Small-Large isolated
## 599 0 0 1004 1|14 low Small-Large isolated
## 600 0 0 1004 1|14 low Small-Large isolated
## 601 1 4 1004 1|14 low Small-Large isolated
## 602 1 4 1004 1|14 low Small-Large isolated
## 603 1 4 1004 1|14 low Small-Large isolated
## 604 1 4 1004 1|14 low Small-Large isolated
## 605 1 4 1004 1|14 low Small-Large isolated
## 606 1 4 1004 1|14 low Small-Large isolated
## 607 1 4 1004 1|14 low Small-Large isolated
## 608 1 4 1004 1|14 low Small-Large isolated
## 609 1 4 1004 1|14 low Small-Large isolated
## 610 1 4 1004 1|14 low Small-Large isolated
## 611 1 4 1004 1|14 low Small-Large isolated
## 612 1 4 1004 1|14 low Small-Large isolated
## 613 1 4 1004 1|14 low Small-Large isolated
## 614 1 4 1004 1|14 low Small-Large isolated
## 615 1 4 1004 1|14 low Small-Large isolated
## 616 1 4 1004 1|14 low Small-Large isolated
## 617 1 4 1004 1|14 low Small-Large isolated
## 618 1 4 1004 1|14 low Small-Large isolated
## 619 1 4 1004 1|14 low Small-Large isolated
## 620 1 4 1004 1|14 low Small-Large isolated
## 621 1 4 1004 1|14 low Small-Large isolated
## 622 1 4 1004 1|14 low Small-Large isolated
## 623 1 4 1004 1|14 low Small-Large isolated
## 624 1 4 1004 1|14 low Small-Large isolated
## 625 2 8 1004 1|14 low Small-Large isolated
## 626 2 8 1004 1|14 low Small-Large isolated
## 627 2 8 1004 1|14 low Small-Large isolated
## 628 2 8 1004 1|14 low Small-Large isolated
## 629 2 8 1004 1|14 low Small-Large isolated
## 630 2 8 1004 1|14 low Small-Large isolated
## 631 2 8 1004 1|14 low Small-Large isolated
## 632 2 8 1004 1|14 low Small-Large isolated
## 633 2 8 1004 1|14 low Small-Large isolated
## 634 2 8 1004 1|14 low Small-Large isolated
## 635 2 8 1004 1|14 low Small-Large isolated
## 636 2 8 1004 1|14 low Small-Large isolated
## 637 2 8 1004 1|14 low Small-Large isolated
## 638 2 8 1004 1|14 low Small-Large isolated
## 639 2 8 1004 1|14 low Small-Large isolated
## 640 2 8 1004 1|14 low Small-Large isolated
## 641 2 8 1004 1|14 low Small-Large isolated
## 642 2 8 1004 1|14 low Small-Large isolated
## 643 2 8 1004 1|14 low Small-Large isolated
## 644 2 8 1004 1|14 low Small-Large isolated
## 645 2 8 1004 1|14 low Small-Large isolated
## 646 2 8 1004 1|14 low Small-Large isolated
## 647 2 8 1004 1|14 low Small-Large isolated
## 648 2 8 1004 1|14 low Small-Large isolated
## 649 3 12 1004 1|14 low Small-Large isolated
## 650 3 12 1004 1|14 low Small-Large isolated
## 651 3 12 1004 1|14 low Small-Large isolated
## 652 3 12 1004 1|14 low Small-Large isolated
## 653 3 12 1004 1|14 low Small-Large isolated
## 654 3 12 1004 1|14 low Small-Large isolated
## 655 3 12 1004 1|14 low Small-Large isolated
## 656 3 12 1004 1|14 low Small-Large isolated
## 657 3 12 1004 1|14 low Small-Large isolated
## 658 3 12 1004 1|14 low Small-Large isolated
## 659 3 12 1004 1|14 low Small-Large isolated
## 660 3 12 1004 1|14 low Small-Large isolated
## 661 3 12 1004 1|14 low Small-Large isolated
## 662 3 12 1004 1|14 low Small-Large isolated
## 663 3 12 1004 1|14 low Small-Large isolated
## 664 3 12 1004 1|14 low Small-Large isolated
## 665 3 12 1004 1|14 low Small-Large isolated
## 666 3 12 1004 1|14 low Small-Large isolated
## 667 3 12 1004 1|14 low Small-Large isolated
## 668 3 12 1004 1|14 low Small-Large isolated
## 669 3 12 1004 1|14 low Small-Large isolated
## 670 3 12 1004 1|14 low Small-Large isolated
## 671 3 12 1004 1|14 low Small-Large isolated
## 672 3 12 1004 1|14 low Small-Large isolated
## 673 4 16 1004 1|14 low Small-Large isolated
## 674 4 16 1004 1|14 low Small-Large isolated
## 675 4 16 1004 1|14 low Small-Large isolated
## 676 4 16 1004 1|14 low Small-Large isolated
## 677 4 16 1004 1|14 low Small-Large isolated
## 678 4 16 1004 1|14 low Small-Large isolated
## 679 4 16 1004 1|14 low Small-Large isolated
## 680 4 16 1004 1|14 low Small-Large isolated
## 681 4 16 1004 1|14 low Small-Large isolated
## 682 4 16 1004 1|14 low Small-Large isolated
## 683 4 16 1004 1|14 low Small-Large isolated
## 684 4 16 1004 1|14 low Small-Large isolated
## 685 4 16 1004 1|14 low Small-Large isolated
## 686 4 16 1004 1|14 low Small-Large isolated
## 687 4 16 1004 1|14 low Small-Large isolated
## 688 4 16 1004 1|14 low Small-Large isolated
## 689 4 16 1004 1|14 low Small-Large isolated
## 690 4 16 1004 1|14 low Small-Large isolated
## 691 4 16 1004 1|14 low Small-Large isolated
## 692 4 16 1004 1|14 low Small-Large isolated
## 693 4 16 1004 1|14 low Small-Large isolated
## 694 4 16 1004 1|14 low Small-Large isolated
## 695 4 16 1004 1|14 low Small-Large isolated
## 696 4 16 1004 1|14 low Small-Large isolated
## 697 5 20 1004 1|14 low Small-Large isolated
## 698 5 20 1004 1|14 low Small-Large isolated
## 699 5 20 1004 1|14 low Small-Large isolated
## 700 5 20 1004 1|14 low Small-Large isolated
## 701 5 20 1004 1|14 low Small-Large isolated
## 702 5 20 1004 1|14 low Small-Large isolated
## 703 5 20 1004 1|14 low Small-Large isolated
## 704 5 20 1004 1|14 low Small-Large isolated
## 705 5 20 1004 1|14 low Small-Large isolated
## 706 5 20 1004 1|14 low Small-Large isolated
## 707 5 20 1004 1|14 low Small-Large isolated
## 708 5 20 1004 1|14 low Small-Large isolated
## 709 5 20 1004 1|14 low Small-Large isolated
## 710 5 20 1004 1|14 low Small-Large isolated
## 711 5 20 1004 1|14 low Small-Large isolated
## 712 5 20 1004 1|14 low Small-Large isolated
## 713 5 20 1004 1|14 low Small-Large isolated
## 714 5 20 1004 1|14 low Small-Large isolated
## 715 5 20 1004 1|14 low Small-Large isolated
## 716 5 20 1004 1|14 low Small-Large isolated
## 717 5 20 1004 1|14 low Small-Large isolated
## 718 5 20 1004 1|14 low Small-Large isolated
## 719 5 20 1004 1|14 low Small-Large isolated
## 720 5 20 1004 1|14 low Small-Large isolated
## 721 6 24 1004 1|14 low Small-Large isolated
## 722 6 24 1004 1|14 low Small-Large isolated
## 723 6 24 1004 1|14 low Small-Large isolated
## 724 6 24 1004 1|14 low Small-Large isolated
## 725 6 24 1004 1|14 low Small-Large isolated
## 726 6 24 1004 1|14 low Small-Large isolated
## 727 6 24 1004 1|14 low Small-Large isolated
## 728 6 24 1004 1|14 low Small-Large isolated
## 729 6 24 1004 1|14 low Small-Large isolated
## 730 6 24 1004 1|14 low Small-Large isolated
## 731 6 24 1004 1|14 low Small-Large isolated
## 732 6 24 1004 1|14 low Small-Large isolated
## 733 6 24 1004 1|14 low Small-Large isolated
## 734 6 24 1004 1|14 low Small-Large isolated
## 735 6 24 1004 1|14 low Small-Large isolated
## 736 6 24 1004 1|14 low Small-Large isolated
## 737 6 24 1004 1|14 low Small-Large isolated
## 738 6 24 1004 1|14 low Small-Large isolated
## 739 6 24 1004 1|14 low Small-Large isolated
## 740 6 24 1004 1|14 low Small-Large isolated
## 741 6 24 1004 1|14 low Small-Large isolated
## 742 6 24 1004 1|14 low Small-Large isolated
## 743 6 24 1004 1|14 low Small-Large isolated
## 744 6 24 1004 1|14 low Small-Large isolated
## 745 7 28 1004 1|14 low Small-Large isolated
## 746 7 28 1004 1|14 low Small-Large isolated
## 747 7 28 1004 1|14 low Small-Large isolated
## 748 7 28 1004 1|14 low Small-Large isolated
## 749 7 28 1004 1|14 low Small-Large isolated
## 750 7 28 1004 1|14 low Small-Large isolated
## 751 7 28 1004 1|14 low Small-Large isolated
## 752 7 28 1004 1|14 low Small-Large isolated
## 753 7 28 1004 1|14 low Small-Large isolated
## 754 7 28 1004 1|14 low Small-Large isolated
## 755 7 28 1004 1|14 low Small-Large isolated
## 756 7 28 1004 1|14 low Small-Large isolated
## 757 7 28 1004 1|14 low Small-Large isolated
## 758 7 28 1004 1|14 low Small-Large isolated
## 759 7 28 1004 1|14 low Small-Large isolated
## 760 7 28 1004 1|14 low Small-Large isolated
## 761 7 28 1004 1|14 low Small-Large isolated
## 762 7 28 1004 1|14 low Small-Large isolated
## 763 7 28 1004 1|14 low Small-Large isolated
## 764 7 28 1004 1|14 low Small-Large isolated
## 765 7 28 1004 1|14 low Small-Large isolated
## 766 7 28 1004 1|14 low Small-Large isolated
## 767 7 28 1004 1|14 low Small-Large isolated
## 768 7 28 1004 1|14 low Small-Large isolated
## 769 0 0 1005 1|15 low Small-Large isolated
## 770 0 0 1005 1|15 low Small-Large isolated
## 771 0 0 1005 1|15 low Small-Large isolated
## 772 0 0 1005 1|15 low Small-Large isolated
## 773 0 0 1005 1|15 low Small-Large isolated
## 774 0 0 1005 1|15 low Small-Large isolated
## 775 0 0 1005 1|15 low Small-Large isolated
## 776 0 0 1005 1|15 low Small-Large isolated
## 777 0 0 1005 1|15 low Small-Large isolated
## 778 0 0 1005 1|15 low Small-Large isolated
## 779 0 0 1005 1|15 low Small-Large isolated
## 780 0 0 1005 1|15 low Small-Large isolated
## 781 0 0 1005 1|15 low Small-Large isolated
## 782 0 0 1005 1|15 low Small-Large isolated
## 783 0 0 1005 1|15 low Small-Large isolated
## 784 0 0 1005 1|15 low Small-Large isolated
## 785 0 0 1005 1|15 low Small-Large isolated
## 786 0 0 1005 1|15 low Small-Large isolated
## 787 0 0 1005 1|15 low Small-Large isolated
## 788 0 0 1005 1|15 low Small-Large isolated
## 789 0 0 1005 1|15 low Small-Large isolated
## 790 0 0 1005 1|15 low Small-Large isolated
## 791 0 0 1005 1|15 low Small-Large isolated
## 792 0 0 1005 1|15 low Small-Large isolated
## 793 1 4 1005 1|15 low Small-Large isolated
## 794 1 4 1005 1|15 low Small-Large isolated
## 795 1 4 1005 1|15 low Small-Large isolated
## 796 1 4 1005 1|15 low Small-Large isolated
## 797 1 4 1005 1|15 low Small-Large isolated
## 798 1 4 1005 1|15 low Small-Large isolated
## 799 1 4 1005 1|15 low Small-Large isolated
## 800 1 4 1005 1|15 low Small-Large isolated
## 801 1 4 1005 1|15 low Small-Large isolated
## 802 1 4 1005 1|15 low Small-Large isolated
## 803 1 4 1005 1|15 low Small-Large isolated
## 804 1 4 1005 1|15 low Small-Large isolated
## 805 1 4 1005 1|15 low Small-Large isolated
## 806 1 4 1005 1|15 low Small-Large isolated
## 807 1 4 1005 1|15 low Small-Large isolated
## 808 1 4 1005 1|15 low Small-Large isolated
## 809 1 4 1005 1|15 low Small-Large isolated
## 810 1 4 1005 1|15 low Small-Large isolated
## 811 1 4 1005 1|15 low Small-Large isolated
## 812 1 4 1005 1|15 low Small-Large isolated
## 813 1 4 1005 1|15 low Small-Large isolated
## 814 1 4 1005 1|15 low Small-Large isolated
## 815 1 4 1005 1|15 low Small-Large isolated
## 816 1 4 1005 1|15 low Small-Large isolated
## 817 2 8 1005 1|15 low Small-Large isolated
## 818 2 8 1005 1|15 low Small-Large isolated
## 819 2 8 1005 1|15 low Small-Large isolated
## 820 2 8 1005 1|15 low Small-Large isolated
## 821 2 8 1005 1|15 low Small-Large isolated
## 822 2 8 1005 1|15 low Small-Large isolated
## 823 2 8 1005 1|15 low Small-Large isolated
## 824 2 8 1005 1|15 low Small-Large isolated
## 825 2 8 1005 1|15 low Small-Large isolated
## 826 2 8 1005 1|15 low Small-Large isolated
## 827 2 8 1005 1|15 low Small-Large isolated
## 828 2 8 1005 1|15 low Small-Large isolated
## 829 2 8 1005 1|15 low Small-Large isolated
## 830 2 8 1005 1|15 low Small-Large isolated
## 831 2 8 1005 1|15 low Small-Large isolated
## 832 2 8 1005 1|15 low Small-Large isolated
## 833 2 8 1005 1|15 low Small-Large isolated
## 834 2 8 1005 1|15 low Small-Large isolated
## 835 2 8 1005 1|15 low Small-Large isolated
## 836 2 8 1005 1|15 low Small-Large isolated
## 837 2 8 1005 1|15 low Small-Large isolated
## 838 2 8 1005 1|15 low Small-Large isolated
## 839 2 8 1005 1|15 low Small-Large isolated
## 840 2 8 1005 1|15 low Small-Large isolated
## 841 3 12 1005 1|15 low Small-Large isolated
## 842 3 12 1005 1|15 low Small-Large isolated
## 843 3 12 1005 1|15 low Small-Large isolated
## 844 3 12 1005 1|15 low Small-Large isolated
## 845 3 12 1005 1|15 low Small-Large isolated
## 846 3 12 1005 1|15 low Small-Large isolated
## 847 3 12 1005 1|15 low Small-Large isolated
## 848 3 12 1005 1|15 low Small-Large isolated
## 849 3 12 1005 1|15 low Small-Large isolated
## 850 3 12 1005 1|15 low Small-Large isolated
## 851 3 12 1005 1|15 low Small-Large isolated
## 852 3 12 1005 1|15 low Small-Large isolated
## 853 3 12 1005 1|15 low Small-Large isolated
## 854 3 12 1005 1|15 low Small-Large isolated
## 855 3 12 1005 1|15 low Small-Large isolated
## 856 3 12 1005 1|15 low Small-Large isolated
## 857 3 12 1005 1|15 low Small-Large isolated
## 858 3 12 1005 1|15 low Small-Large isolated
## 859 3 12 1005 1|15 low Small-Large isolated
## 860 3 12 1005 1|15 low Small-Large isolated
## 861 3 12 1005 1|15 low Small-Large isolated
## 862 3 12 1005 1|15 low Small-Large isolated
## 863 3 12 1005 1|15 low Small-Large isolated
## 864 3 12 1005 1|15 low Small-Large isolated
## 865 4 16 1005 1|15 low Small-Large isolated
## 866 4 16 1005 1|15 low Small-Large isolated
## 867 4 16 1005 1|15 low Small-Large isolated
## 868 4 16 1005 1|15 low Small-Large isolated
## 869 4 16 1005 1|15 low Small-Large isolated
## 870 4 16 1005 1|15 low Small-Large isolated
## 871 4 16 1005 1|15 low Small-Large isolated
## 872 4 16 1005 1|15 low Small-Large isolated
## 873 4 16 1005 1|15 low Small-Large isolated
## 874 4 16 1005 1|15 low Small-Large isolated
## 875 4 16 1005 1|15 low Small-Large isolated
## 876 4 16 1005 1|15 low Small-Large isolated
## 877 4 16 1005 1|15 low Small-Large isolated
## 878 4 16 1005 1|15 low Small-Large isolated
## 879 4 16 1005 1|15 low Small-Large isolated
## 880 4 16 1005 1|15 low Small-Large isolated
## 881 4 16 1005 1|15 low Small-Large isolated
## 882 4 16 1005 1|15 low Small-Large isolated
## 883 4 16 1005 1|15 low Small-Large isolated
## 884 4 16 1005 1|15 low Small-Large isolated
## 885 4 16 1005 1|15 low Small-Large isolated
## 886 4 16 1005 1|15 low Small-Large isolated
## 887 4 16 1005 1|15 low Small-Large isolated
## 888 4 16 1005 1|15 low Small-Large isolated
## 889 5 20 1005 1|15 low Small-Large isolated
## 890 5 20 1005 1|15 low Small-Large isolated
## 891 5 20 1005 1|15 low Small-Large isolated
## 892 5 20 1005 1|15 low Small-Large isolated
## 893 5 20 1005 1|15 low Small-Large isolated
## 894 5 20 1005 1|15 low Small-Large isolated
## 895 5 20 1005 1|15 low Small-Large isolated
## 896 5 20 1005 1|15 low Small-Large isolated
## 897 5 20 1005 1|15 low Small-Large isolated
## 898 5 20 1005 1|15 low Small-Large isolated
## 899 5 20 1005 1|15 low Small-Large isolated
## 900 5 20 1005 1|15 low Small-Large isolated
## 901 5 20 1005 1|15 low Small-Large isolated
## 902 5 20 1005 1|15 low Small-Large isolated
## 903 5 20 1005 1|15 low Small-Large isolated
## 904 5 20 1005 1|15 low Small-Large isolated
## 905 5 20 1005 1|15 low Small-Large isolated
## 906 5 20 1005 1|15 low Small-Large isolated
## 907 5 20 1005 1|15 low Small-Large isolated
## 908 5 20 1005 1|15 low Small-Large isolated
## 909 5 20 1005 1|15 low Small-Large isolated
## 910 5 20 1005 1|15 low Small-Large isolated
## 911 5 20 1005 1|15 low Small-Large isolated
## 912 5 20 1005 1|15 low Small-Large isolated
## 913 6 24 1005 1|15 low Small-Large isolated
## 914 6 24 1005 1|15 low Small-Large isolated
## 915 6 24 1005 1|15 low Small-Large isolated
## 916 6 24 1005 1|15 low Small-Large isolated
## 917 6 24 1005 1|15 low Small-Large isolated
## 918 6 24 1005 1|15 low Small-Large isolated
## 919 6 24 1005 1|15 low Small-Large isolated
## 920 6 24 1005 1|15 low Small-Large isolated
## 921 6 24 1005 1|15 low Small-Large isolated
## 922 6 24 1005 1|15 low Small-Large isolated
## 923 6 24 1005 1|15 low Small-Large isolated
## 924 6 24 1005 1|15 low Small-Large isolated
## 925 6 24 1005 1|15 low Small-Large isolated
## 926 6 24 1005 1|15 low Small-Large isolated
## 927 6 24 1005 1|15 low Small-Large isolated
## 928 6 24 1005 1|15 low Small-Large isolated
## 929 6 24 1005 1|15 low Small-Large isolated
## 930 6 24 1005 1|15 low Small-Large isolated
## 931 6 24 1005 1|15 low Small-Large isolated
## 932 6 24 1005 1|15 low Small-Large isolated
## 933 6 24 1005 1|15 low Small-Large isolated
## 934 6 24 1005 1|15 low Small-Large isolated
## 935 6 24 1005 1|15 low Small-Large isolated
## 936 6 24 1005 1|15 low Small-Large isolated
## 937 7 28 1005 1|15 low Small-Large isolated
## 938 7 28 1005 1|15 low Small-Large isolated
## 939 7 28 1005 1|15 low Small-Large isolated
## 940 7 28 1005 1|15 low Small-Large isolated
## 941 7 28 1005 1|15 low Small-Large isolated
## 942 7 28 1005 1|15 low Small-Large isolated
## 943 7 28 1005 1|15 low Small-Large isolated
## 944 7 28 1005 1|15 low Small-Large isolated
## 945 7 28 1005 1|15 low Small-Large isolated
## 946 7 28 1005 1|15 low Small-Large isolated
## 947 7 28 1005 1|15 low Small-Large isolated
## 948 7 28 1005 1|15 low Small-Large isolated
## 949 7 28 1005 1|15 low Small-Large isolated
## 950 7 28 1005 1|15 low Small-Large isolated
## 951 7 28 1005 1|15 low Small-Large isolated
## 952 7 28 1005 1|15 low Small-Large isolated
## 953 7 28 1005 1|15 low Small-Large isolated
## 954 7 28 1005 1|15 low Small-Large isolated
## 955 7 28 1005 1|15 low Small-Large isolated
## 956 7 28 1005 1|15 low Small-Large isolated
## 957 7 28 1005 1|15 low Small-Large isolated
## 958 7 28 1005 1|15 low Small-Large isolated
## 959 7 28 1005 1|15 low Small-Large isolated
## 960 7 28 1005 1|15 low Small-Large isolated
## 961 0 0 1006 2|11 low Small-Large isolated
## 962 0 0 1006 2|11 low Small-Large isolated
## 963 0 0 1006 2|11 low Small-Large isolated
## 964 0 0 1006 2|11 low Small-Large isolated
## 965 0 0 1006 2|11 low Small-Large isolated
## 966 0 0 1006 2|11 low Small-Large isolated
## 967 0 0 1006 2|11 low Small-Large isolated
## 968 0 0 1006 2|11 low Small-Large isolated
## 969 0 0 1006 2|11 low Small-Large isolated
## 970 0 0 1006 2|11 low Small-Large isolated
## 971 0 0 1006 2|11 low Small-Large isolated
## 972 0 0 1006 2|11 low Small-Large isolated
## 973 0 0 1006 2|11 low Small-Large isolated
## 974 0 0 1006 2|11 low Small-Large isolated
## 975 0 0 1006 2|11 low Small-Large isolated
## 976 0 0 1006 2|11 low Small-Large isolated
## 977 0 0 1006 2|11 low Small-Large isolated
## 978 0 0 1006 2|11 low Small-Large isolated
## 979 0 0 1006 2|11 low Small-Large isolated
## 980 0 0 1006 2|11 low Small-Large isolated
## 981 0 0 1006 2|11 low Small-Large isolated
## 982 0 0 1006 2|11 low Small-Large isolated
## 983 0 0 1006 2|11 low Small-Large isolated
## 984 0 0 1006 2|11 low Small-Large isolated
## 985 1 4 1006 2|11 low Small-Large isolated
## 986 1 4 1006 2|11 low Small-Large isolated
## 987 1 4 1006 2|11 low Small-Large isolated
## 988 1 4 1006 2|11 low Small-Large isolated
## 989 1 4 1006 2|11 low Small-Large isolated
## 990 1 4 1006 2|11 low Small-Large isolated
## 991 1 4 1006 2|11 low Small-Large isolated
## 992 1 4 1006 2|11 low Small-Large isolated
## 993 1 4 1006 2|11 low Small-Large isolated
## 994 1 4 1006 2|11 low Small-Large isolated
## 995 1 4 1006 2|11 low Small-Large isolated
## 996 1 4 1006 2|11 low Small-Large isolated
## 997 1 4 1006 2|11 low Small-Large isolated
## 998 1 4 1006 2|11 low Small-Large isolated
## 999 1 4 1006 2|11 low Small-Large isolated
## 1000 1 4 1006 2|11 low Small-Large isolated
## 1001 1 4 1006 2|11 low Small-Large isolated
## 1002 1 4 1006 2|11 low Small-Large isolated
## 1003 1 4 1006 2|11 low Small-Large isolated
## 1004 1 4 1006 2|11 low Small-Large isolated
## 1005 1 4 1006 2|11 low Small-Large isolated
## 1006 1 4 1006 2|11 low Small-Large isolated
## 1007 1 4 1006 2|11 low Small-Large isolated
## 1008 1 4 1006 2|11 low Small-Large isolated
## 1009 2 8 1006 2|11 low Small-Large isolated
## 1010 2 8 1006 2|11 low Small-Large isolated
## 1011 2 8 1006 2|11 low Small-Large isolated
## 1012 2 8 1006 2|11 low Small-Large isolated
## 1013 2 8 1006 2|11 low Small-Large isolated
## 1014 2 8 1006 2|11 low Small-Large isolated
## 1015 2 8 1006 2|11 low Small-Large isolated
## 1016 2 8 1006 2|11 low Small-Large isolated
## 1017 2 8 1006 2|11 low Small-Large isolated
## 1018 2 8 1006 2|11 low Small-Large isolated
## 1019 2 8 1006 2|11 low Small-Large isolated
## 1020 2 8 1006 2|11 low Small-Large isolated
## 1021 2 8 1006 2|11 low Small-Large isolated
## 1022 2 8 1006 2|11 low Small-Large isolated
## 1023 2 8 1006 2|11 low Small-Large isolated
## 1024 2 8 1006 2|11 low Small-Large isolated
## 1025 2 8 1006 2|11 low Small-Large isolated
## 1026 2 8 1006 2|11 low Small-Large isolated
## 1027 2 8 1006 2|11 low Small-Large isolated
## 1028 2 8 1006 2|11 low Small-Large isolated
## 1029 2 8 1006 2|11 low Small-Large isolated
## 1030 2 8 1006 2|11 low Small-Large isolated
## 1031 2 8 1006 2|11 low Small-Large isolated
## 1032 2 8 1006 2|11 low Small-Large isolated
## 1033 3 12 1006 2|11 low Small-Large isolated
## 1034 3 12 1006 2|11 low Small-Large isolated
## 1035 3 12 1006 2|11 low Small-Large isolated
## 1036 3 12 1006 2|11 low Small-Large isolated
## 1037 3 12 1006 2|11 low Small-Large isolated
## 1038 3 12 1006 2|11 low Small-Large isolated
## 1039 3 12 1006 2|11 low Small-Large isolated
## 1040 3 12 1006 2|11 low Small-Large isolated
## 1041 3 12 1006 2|11 low Small-Large isolated
## 1042 3 12 1006 2|11 low Small-Large isolated
## 1043 3 12 1006 2|11 low Small-Large isolated
## 1044 3 12 1006 2|11 low Small-Large isolated
## 1045 3 12 1006 2|11 low Small-Large isolated
## 1046 3 12 1006 2|11 low Small-Large isolated
## 1047 3 12 1006 2|11 low Small-Large isolated
## 1048 3 12 1006 2|11 low Small-Large isolated
## 1049 3 12 1006 2|11 low Small-Large isolated
## 1050 3 12 1006 2|11 low Small-Large isolated
## 1051 3 12 1006 2|11 low Small-Large isolated
## 1052 3 12 1006 2|11 low Small-Large isolated
## 1053 3 12 1006 2|11 low Small-Large isolated
## 1054 3 12 1006 2|11 low Small-Large isolated
## 1055 3 12 1006 2|11 low Small-Large isolated
## 1056 3 12 1006 2|11 low Small-Large isolated
## 1057 4 16 1006 2|11 low Small-Large isolated
## 1058 4 16 1006 2|11 low Small-Large isolated
## 1059 4 16 1006 2|11 low Small-Large isolated
## 1060 4 16 1006 2|11 low Small-Large isolated
## 1061 4 16 1006 2|11 low Small-Large isolated
## 1062 4 16 1006 2|11 low Small-Large isolated
## 1063 4 16 1006 2|11 low Small-Large isolated
## 1064 4 16 1006 2|11 low Small-Large isolated
## 1065 4 16 1006 2|11 low Small-Large isolated
## 1066 4 16 1006 2|11 low Small-Large isolated
## 1067 4 16 1006 2|11 low Small-Large isolated
## 1068 4 16 1006 2|11 low Small-Large isolated
## 1069 4 16 1006 2|11 low Small-Large isolated
## 1070 4 16 1006 2|11 low Small-Large isolated
## 1071 4 16 1006 2|11 low Small-Large isolated
## 1072 4 16 1006 2|11 low Small-Large isolated
## 1073 4 16 1006 2|11 low Small-Large isolated
## 1074 4 16 1006 2|11 low Small-Large isolated
## 1075 4 16 1006 2|11 low Small-Large isolated
## 1076 4 16 1006 2|11 low Small-Large isolated
## 1077 4 16 1006 2|11 low Small-Large isolated
## 1078 4 16 1006 2|11 low Small-Large isolated
## 1079 4 16 1006 2|11 low Small-Large isolated
## 1080 4 16 1006 2|11 low Small-Large isolated
## 1081 5 20 1006 2|11 low Small-Large isolated
## 1082 5 20 1006 2|11 low Small-Large isolated
## 1083 5 20 1006 2|11 low Small-Large isolated
## 1084 5 20 1006 2|11 low Small-Large isolated
## 1085 5 20 1006 2|11 low Small-Large isolated
## 1086 5 20 1006 2|11 low Small-Large isolated
## 1087 5 20 1006 2|11 low Small-Large isolated
## 1088 5 20 1006 2|11 low Small-Large isolated
## 1089 5 20 1006 2|11 low Small-Large isolated
## 1090 5 20 1006 2|11 low Small-Large isolated
## 1091 5 20 1006 2|11 low Small-Large isolated
## 1092 5 20 1006 2|11 low Small-Large isolated
## 1093 5 20 1006 2|11 low Small-Large isolated
## 1094 5 20 1006 2|11 low Small-Large isolated
## 1095 5 20 1006 2|11 low Small-Large isolated
## 1096 5 20 1006 2|11 low Small-Large isolated
## 1097 5 20 1006 2|11 low Small-Large isolated
## 1098 5 20 1006 2|11 low Small-Large isolated
## 1099 5 20 1006 2|11 low Small-Large isolated
## 1100 5 20 1006 2|11 low Small-Large isolated
## 1101 5 20 1006 2|11 low Small-Large isolated
## 1102 5 20 1006 2|11 low Small-Large isolated
## 1103 5 20 1006 2|11 low Small-Large isolated
## 1104 5 20 1006 2|11 low Small-Large isolated
## 1105 6 24 1006 2|11 low Small-Large isolated
## 1106 6 24 1006 2|11 low Small-Large isolated
## 1107 6 24 1006 2|11 low Small-Large isolated
## 1108 6 24 1006 2|11 low Small-Large isolated
## 1109 6 24 1006 2|11 low Small-Large isolated
## 1110 6 24 1006 2|11 low Small-Large isolated
## 1111 6 24 1006 2|11 low Small-Large isolated
## 1112 6 24 1006 2|11 low Small-Large isolated
## 1113 6 24 1006 2|11 low Small-Large isolated
## 1114 6 24 1006 2|11 low Small-Large isolated
## 1115 6 24 1006 2|11 low Small-Large isolated
## 1116 6 24 1006 2|11 low Small-Large isolated
## 1117 6 24 1006 2|11 low Small-Large isolated
## 1118 6 24 1006 2|11 low Small-Large isolated
## 1119 6 24 1006 2|11 low Small-Large isolated
## 1120 6 24 1006 2|11 low Small-Large isolated
## 1121 6 24 1006 2|11 low Small-Large isolated
## 1122 6 24 1006 2|11 low Small-Large isolated
## 1123 6 24 1006 2|11 low Small-Large isolated
## 1124 6 24 1006 2|11 low Small-Large isolated
## 1125 6 24 1006 2|11 low Small-Large isolated
## 1126 6 24 1006 2|11 low Small-Large isolated
## 1127 6 24 1006 2|11 low Small-Large isolated
## 1128 6 24 1006 2|11 low Small-Large isolated
## 1129 7 28 1006 2|11 low Small-Large isolated
## 1130 7 28 1006 2|11 low Small-Large isolated
## 1131 7 28 1006 2|11 low Small-Large isolated
## 1132 7 28 1006 2|11 low Small-Large isolated
## 1133 7 28 1006 2|11 low Small-Large isolated
## 1134 7 28 1006 2|11 low Small-Large isolated
## 1135 7 28 1006 2|11 low Small-Large isolated
## 1136 7 28 1006 2|11 low Small-Large isolated
## 1137 7 28 1006 2|11 low Small-Large isolated
## 1138 7 28 1006 2|11 low Small-Large isolated
## 1139 7 28 1006 2|11 low Small-Large isolated
## 1140 7 28 1006 2|11 low Small-Large isolated
## 1141 7 28 1006 2|11 low Small-Large isolated
## 1142 7 28 1006 2|11 low Small-Large isolated
## 1143 7 28 1006 2|11 low Small-Large isolated
## 1144 7 28 1006 2|11 low Small-Large isolated
## 1145 7 28 1006 2|11 low Small-Large isolated
## 1146 7 28 1006 2|11 low Small-Large isolated
## 1147 7 28 1006 2|11 low Small-Large isolated
## 1148 7 28 1006 2|11 low Small-Large isolated
## 1149 7 28 1006 2|11 low Small-Large isolated
## 1150 7 28 1006 2|11 low Small-Large isolated
## 1151 7 28 1006 2|11 low Small-Large isolated
## 1152 7 28 1006 2|11 low Small-Large isolated
## 1153 0 0 1007 2|12 low Small-Large isolated
## 1154 0 0 1007 2|12 low Small-Large isolated
## 1155 0 0 1007 2|12 low Small-Large isolated
## 1156 0 0 1007 2|12 low Small-Large isolated
## 1157 0 0 1007 2|12 low Small-Large isolated
## 1158 0 0 1007 2|12 low Small-Large isolated
## 1159 0 0 1007 2|12 low Small-Large isolated
## 1160 0 0 1007 2|12 low Small-Large isolated
## 1161 0 0 1007 2|12 low Small-Large isolated
## 1162 0 0 1007 2|12 low Small-Large isolated
## 1163 0 0 1007 2|12 low Small-Large isolated
## 1164 0 0 1007 2|12 low Small-Large isolated
## 1165 0 0 1007 2|12 low Small-Large isolated
## 1166 0 0 1007 2|12 low Small-Large isolated
## 1167 0 0 1007 2|12 low Small-Large isolated
## 1168 0 0 1007 2|12 low Small-Large isolated
## 1169 0 0 1007 2|12 low Small-Large isolated
## 1170 0 0 1007 2|12 low Small-Large isolated
## 1171 0 0 1007 2|12 low Small-Large isolated
## 1172 0 0 1007 2|12 low Small-Large isolated
## 1173 0 0 1007 2|12 low Small-Large isolated
## 1174 0 0 1007 2|12 low Small-Large isolated
## 1175 0 0 1007 2|12 low Small-Large isolated
## 1176 0 0 1007 2|12 low Small-Large isolated
## 1177 1 4 1007 2|12 low Small-Large isolated
## 1178 1 4 1007 2|12 low Small-Large isolated
## 1179 1 4 1007 2|12 low Small-Large isolated
## 1180 1 4 1007 2|12 low Small-Large isolated
## 1181 1 4 1007 2|12 low Small-Large isolated
## 1182 1 4 1007 2|12 low Small-Large isolated
## 1183 1 4 1007 2|12 low Small-Large isolated
## 1184 1 4 1007 2|12 low Small-Large isolated
## 1185 1 4 1007 2|12 low Small-Large isolated
## 1186 1 4 1007 2|12 low Small-Large isolated
## 1187 1 4 1007 2|12 low Small-Large isolated
## 1188 1 4 1007 2|12 low Small-Large isolated
## 1189 1 4 1007 2|12 low Small-Large isolated
## 1190 1 4 1007 2|12 low Small-Large isolated
## 1191 1 4 1007 2|12 low Small-Large isolated
## 1192 1 4 1007 2|12 low Small-Large isolated
## 1193 1 4 1007 2|12 low Small-Large isolated
## 1194 1 4 1007 2|12 low Small-Large isolated
## 1195 1 4 1007 2|12 low Small-Large isolated
## 1196 1 4 1007 2|12 low Small-Large isolated
## 1197 1 4 1007 2|12 low Small-Large isolated
## 1198 1 4 1007 2|12 low Small-Large isolated
## 1199 1 4 1007 2|12 low Small-Large isolated
## 1200 1 4 1007 2|12 low Small-Large isolated
## 1201 2 8 1007 2|12 low Small-Large isolated
## 1202 2 8 1007 2|12 low Small-Large isolated
## 1203 2 8 1007 2|12 low Small-Large isolated
## 1204 2 8 1007 2|12 low Small-Large isolated
## 1205 2 8 1007 2|12 low Small-Large isolated
## 1206 2 8 1007 2|12 low Small-Large isolated
## 1207 2 8 1007 2|12 low Small-Large isolated
## 1208 2 8 1007 2|12 low Small-Large isolated
## 1209 2 8 1007 2|12 low Small-Large isolated
## 1210 2 8 1007 2|12 low Small-Large isolated
## 1211 2 8 1007 2|12 low Small-Large isolated
## 1212 2 8 1007 2|12 low Small-Large isolated
## 1213 2 8 1007 2|12 low Small-Large isolated
## 1214 2 8 1007 2|12 low Small-Large isolated
## 1215 2 8 1007 2|12 low Small-Large isolated
## 1216 2 8 1007 2|12 low Small-Large isolated
## 1217 2 8 1007 2|12 low Small-Large isolated
## 1218 2 8 1007 2|12 low Small-Large isolated
## 1219 2 8 1007 2|12 low Small-Large isolated
## 1220 2 8 1007 2|12 low Small-Large isolated
## 1221 2 8 1007 2|12 low Small-Large isolated
## 1222 2 8 1007 2|12 low Small-Large isolated
## 1223 2 8 1007 2|12 low Small-Large isolated
## 1224 2 8 1007 2|12 low Small-Large isolated
## 1225 3 12 1007 2|12 low Small-Large isolated
## 1226 3 12 1007 2|12 low Small-Large isolated
## 1227 3 12 1007 2|12 low Small-Large isolated
## 1228 3 12 1007 2|12 low Small-Large isolated
## 1229 3 12 1007 2|12 low Small-Large isolated
## 1230 3 12 1007 2|12 low Small-Large isolated
## 1231 3 12 1007 2|12 low Small-Large isolated
## 1232 3 12 1007 2|12 low Small-Large isolated
## 1233 3 12 1007 2|12 low Small-Large isolated
## 1234 3 12 1007 2|12 low Small-Large isolated
## 1235 3 12 1007 2|12 low Small-Large isolated
## 1236 3 12 1007 2|12 low Small-Large isolated
## 1237 3 12 1007 2|12 low Small-Large isolated
## 1238 3 12 1007 2|12 low Small-Large isolated
## 1239 3 12 1007 2|12 low Small-Large isolated
## 1240 3 12 1007 2|12 low Small-Large isolated
## 1241 3 12 1007 2|12 low Small-Large isolated
## 1242 3 12 1007 2|12 low Small-Large isolated
## 1243 3 12 1007 2|12 low Small-Large isolated
## 1244 3 12 1007 2|12 low Small-Large isolated
## 1245 3 12 1007 2|12 low Small-Large isolated
## 1246 3 12 1007 2|12 low Small-Large isolated
## 1247 3 12 1007 2|12 low Small-Large isolated
## 1248 3 12 1007 2|12 low Small-Large isolated
## 1249 4 16 1007 2|12 low Small-Large isolated
## 1250 4 16 1007 2|12 low Small-Large isolated
## 1251 4 16 1007 2|12 low Small-Large isolated
## 1252 4 16 1007 2|12 low Small-Large isolated
## 1253 4 16 1007 2|12 low Small-Large isolated
## 1254 4 16 1007 2|12 low Small-Large isolated
## 1255 4 16 1007 2|12 low Small-Large isolated
## 1256 4 16 1007 2|12 low Small-Large isolated
## 1257 4 16 1007 2|12 low Small-Large isolated
## 1258 4 16 1007 2|12 low Small-Large isolated
## 1259 4 16 1007 2|12 low Small-Large isolated
## 1260 4 16 1007 2|12 low Small-Large isolated
## 1261 4 16 1007 2|12 low Small-Large isolated
## 1262 4 16 1007 2|12 low Small-Large isolated
## 1263 4 16 1007 2|12 low Small-Large isolated
## 1264 4 16 1007 2|12 low Small-Large isolated
## 1265 4 16 1007 2|12 low Small-Large isolated
## 1266 4 16 1007 2|12 low Small-Large isolated
## 1267 4 16 1007 2|12 low Small-Large isolated
## 1268 4 16 1007 2|12 low Small-Large isolated
## 1269 4 16 1007 2|12 low Small-Large isolated
## 1270 4 16 1007 2|12 low Small-Large isolated
## 1271 4 16 1007 2|12 low Small-Large isolated
## 1272 4 16 1007 2|12 low Small-Large isolated
## 1273 5 20 1007 2|12 low Small-Large isolated
## 1274 5 20 1007 2|12 low Small-Large isolated
## 1275 5 20 1007 2|12 low Small-Large isolated
## 1276 5 20 1007 2|12 low Small-Large isolated
## 1277 5 20 1007 2|12 low Small-Large isolated
## 1278 5 20 1007 2|12 low Small-Large isolated
## 1279 5 20 1007 2|12 low Small-Large isolated
## 1280 5 20 1007 2|12 low Small-Large isolated
## 1281 5 20 1007 2|12 low Small-Large isolated
## 1282 5 20 1007 2|12 low Small-Large isolated
## 1283 5 20 1007 2|12 low Small-Large isolated
## 1284 5 20 1007 2|12 low Small-Large isolated
## 1285 5 20 1007 2|12 low Small-Large isolated
## 1286 5 20 1007 2|12 low Small-Large isolated
## 1287 5 20 1007 2|12 low Small-Large isolated
## 1288 5 20 1007 2|12 low Small-Large isolated
## 1289 5 20 1007 2|12 low Small-Large isolated
## 1290 5 20 1007 2|12 low Small-Large isolated
## 1291 5 20 1007 2|12 low Small-Large isolated
## 1292 5 20 1007 2|12 low Small-Large isolated
## 1293 5 20 1007 2|12 low Small-Large isolated
## 1294 5 20 1007 2|12 low Small-Large isolated
## 1295 5 20 1007 2|12 low Small-Large isolated
## 1296 5 20 1007 2|12 low Small-Large isolated
## 1297 6 24 1007 2|12 low Small-Large isolated
## 1298 6 24 1007 2|12 low Small-Large isolated
## 1299 6 24 1007 2|12 low Small-Large isolated
## 1300 6 24 1007 2|12 low Small-Large isolated
## 1301 6 24 1007 2|12 low Small-Large isolated
## 1302 6 24 1007 2|12 low Small-Large isolated
## 1303 6 24 1007 2|12 low Small-Large isolated
## 1304 6 24 1007 2|12 low Small-Large isolated
## 1305 6 24 1007 2|12 low Small-Large isolated
## 1306 6 24 1007 2|12 low Small-Large isolated
## 1307 6 24 1007 2|12 low Small-Large isolated
## 1308 6 24 1007 2|12 low Small-Large isolated
## 1309 6 24 1007 2|12 low Small-Large isolated
## 1310 6 24 1007 2|12 low Small-Large isolated
## 1311 6 24 1007 2|12 low Small-Large isolated
## 1312 6 24 1007 2|12 low Small-Large isolated
## 1313 6 24 1007 2|12 low Small-Large isolated
## 1314 6 24 1007 2|12 low Small-Large isolated
## 1315 6 24 1007 2|12 low Small-Large isolated
## 1316 6 24 1007 2|12 low Small-Large isolated
## 1317 6 24 1007 2|12 low Small-Large isolated
## 1318 6 24 1007 2|12 low Small-Large isolated
## 1319 6 24 1007 2|12 low Small-Large isolated
## 1320 6 24 1007 2|12 low Small-Large isolated
## 1321 7 28 1007 2|12 low Small-Large isolated
## 1322 7 28 1007 2|12 low Small-Large isolated
## 1323 7 28 1007 2|12 low Small-Large isolated
## 1324 7 28 1007 2|12 low Small-Large isolated
## 1325 7 28 1007 2|12 low Small-Large isolated
## 1326 7 28 1007 2|12 low Small-Large isolated
## 1327 7 28 1007 2|12 low Small-Large isolated
## 1328 7 28 1007 2|12 low Small-Large isolated
## 1329 7 28 1007 2|12 low Small-Large isolated
## 1330 7 28 1007 2|12 low Small-Large isolated
## 1331 7 28 1007 2|12 low Small-Large isolated
## 1332 7 28 1007 2|12 low Small-Large isolated
## 1333 7 28 1007 2|12 low Small-Large isolated
## 1334 7 28 1007 2|12 low Small-Large isolated
## 1335 7 28 1007 2|12 low Small-Large isolated
## 1336 7 28 1007 2|12 low Small-Large isolated
## 1337 7 28 1007 2|12 low Small-Large isolated
## 1338 7 28 1007 2|12 low Small-Large isolated
## 1339 7 28 1007 2|12 low Small-Large isolated
## 1340 7 28 1007 2|12 low Small-Large isolated
## 1341 7 28 1007 2|12 low Small-Large isolated
## 1342 7 28 1007 2|12 low Small-Large isolated
## 1343 7 28 1007 2|12 low Small-Large isolated
## 1344 7 28 1007 2|12 low Small-Large isolated
## 1345 0 0 1008 2|13 low Small-Large isolated
## 1346 0 0 1008 2|13 low Small-Large isolated
## 1347 0 0 1008 2|13 low Small-Large isolated
## 1348 0 0 1008 2|13 low Small-Large isolated
## 1349 0 0 1008 2|13 low Small-Large isolated
## 1350 0 0 1008 2|13 low Small-Large isolated
## 1351 0 0 1008 2|13 low Small-Large isolated
## 1352 0 0 1008 2|13 low Small-Large isolated
## 1353 0 0 1008 2|13 low Small-Large isolated
## 1354 0 0 1008 2|13 low Small-Large isolated
## 1355 0 0 1008 2|13 low Small-Large isolated
## 1356 0 0 1008 2|13 low Small-Large isolated
## 1357 0 0 1008 2|13 low Small-Large isolated
## 1358 0 0 1008 2|13 low Small-Large isolated
## 1359 0 0 1008 2|13 low Small-Large isolated
## 1360 0 0 1008 2|13 low Small-Large isolated
## 1361 0 0 1008 2|13 low Small-Large isolated
## 1362 0 0 1008 2|13 low Small-Large isolated
## 1363 0 0 1008 2|13 low Small-Large isolated
## 1364 0 0 1008 2|13 low Small-Large isolated
## 1365 0 0 1008 2|13 low Small-Large isolated
## 1366 0 0 1008 2|13 low Small-Large isolated
## 1367 0 0 1008 2|13 low Small-Large isolated
## 1368 0 0 1008 2|13 low Small-Large isolated
## 1369 1 4 1008 2|13 low Small-Large isolated
## 1370 1 4 1008 2|13 low Small-Large isolated
## 1371 1 4 1008 2|13 low Small-Large isolated
## 1372 1 4 1008 2|13 low Small-Large isolated
## 1373 1 4 1008 2|13 low Small-Large isolated
## 1374 1 4 1008 2|13 low Small-Large isolated
## 1375 1 4 1008 2|13 low Small-Large isolated
## 1376 1 4 1008 2|13 low Small-Large isolated
## 1377 1 4 1008 2|13 low Small-Large isolated
## 1378 1 4 1008 2|13 low Small-Large isolated
## 1379 1 4 1008 2|13 low Small-Large isolated
## 1380 1 4 1008 2|13 low Small-Large isolated
## 1381 1 4 1008 2|13 low Small-Large isolated
## 1382 1 4 1008 2|13 low Small-Large isolated
## 1383 1 4 1008 2|13 low Small-Large isolated
## 1384 1 4 1008 2|13 low Small-Large isolated
## 1385 1 4 1008 2|13 low Small-Large isolated
## 1386 1 4 1008 2|13 low Small-Large isolated
## 1387 1 4 1008 2|13 low Small-Large isolated
## 1388 1 4 1008 2|13 low Small-Large isolated
## 1389 1 4 1008 2|13 low Small-Large isolated
## 1390 1 4 1008 2|13 low Small-Large isolated
## 1391 1 4 1008 2|13 low Small-Large isolated
## 1392 1 4 1008 2|13 low Small-Large isolated
## 1393 2 8 1008 2|13 low Small-Large isolated
## 1394 2 8 1008 2|13 low Small-Large isolated
## 1395 2 8 1008 2|13 low Small-Large isolated
## 1396 2 8 1008 2|13 low Small-Large isolated
## 1397 2 8 1008 2|13 low Small-Large isolated
## 1398 2 8 1008 2|13 low Small-Large isolated
## 1399 2 8 1008 2|13 low Small-Large isolated
## 1400 2 8 1008 2|13 low Small-Large isolated
## 1401 2 8 1008 2|13 low Small-Large isolated
## 1402 2 8 1008 2|13 low Small-Large isolated
## 1403 2 8 1008 2|13 low Small-Large isolated
## 1404 2 8 1008 2|13 low Small-Large isolated
## 1405 2 8 1008 2|13 low Small-Large isolated
## 1406 2 8 1008 2|13 low Small-Large isolated
## 1407 2 8 1008 2|13 low Small-Large isolated
## 1408 2 8 1008 2|13 low Small-Large isolated
## 1409 2 8 1008 2|13 low Small-Large isolated
## 1410 2 8 1008 2|13 low Small-Large isolated
## 1411 2 8 1008 2|13 low Small-Large isolated
## 1412 2 8 1008 2|13 low Small-Large isolated
## 1413 2 8 1008 2|13 low Small-Large isolated
## 1414 2 8 1008 2|13 low Small-Large isolated
## 1415 2 8 1008 2|13 low Small-Large isolated
## 1416 2 8 1008 2|13 low Small-Large isolated
## 1417 3 12 1008 2|13 low Small-Large isolated
## 1418 3 12 1008 2|13 low Small-Large isolated
## 1419 3 12 1008 2|13 low Small-Large isolated
## 1420 3 12 1008 2|13 low Small-Large isolated
## 1421 3 12 1008 2|13 low Small-Large isolated
## 1422 3 12 1008 2|13 low Small-Large isolated
## 1423 3 12 1008 2|13 low Small-Large isolated
## 1424 3 12 1008 2|13 low Small-Large isolated
## 1425 3 12 1008 2|13 low Small-Large isolated
## 1426 3 12 1008 2|13 low Small-Large isolated
## 1427 3 12 1008 2|13 low Small-Large isolated
## 1428 3 12 1008 2|13 low Small-Large isolated
## 1429 3 12 1008 2|13 low Small-Large isolated
## 1430 3 12 1008 2|13 low Small-Large isolated
## 1431 3 12 1008 2|13 low Small-Large isolated
## 1432 3 12 1008 2|13 low Small-Large isolated
## 1433 3 12 1008 2|13 low Small-Large isolated
## 1434 3 12 1008 2|13 low Small-Large isolated
## 1435 3 12 1008 2|13 low Small-Large isolated
## 1436 3 12 1008 2|13 low Small-Large isolated
## 1437 3 12 1008 2|13 low Small-Large isolated
## 1438 3 12 1008 2|13 low Small-Large isolated
## 1439 3 12 1008 2|13 low Small-Large isolated
## 1440 3 12 1008 2|13 low Small-Large isolated
## 1441 4 16 1008 2|13 low Small-Large isolated
## 1442 4 16 1008 2|13 low Small-Large isolated
## 1443 4 16 1008 2|13 low Small-Large isolated
## 1444 4 16 1008 2|13 low Small-Large isolated
## 1445 4 16 1008 2|13 low Small-Large isolated
## 1446 4 16 1008 2|13 low Small-Large isolated
## 1447 4 16 1008 2|13 low Small-Large isolated
## 1448 4 16 1008 2|13 low Small-Large isolated
## 1449 4 16 1008 2|13 low Small-Large isolated
## 1450 4 16 1008 2|13 low Small-Large isolated
## 1451 4 16 1008 2|13 low Small-Large isolated
## 1452 4 16 1008 2|13 low Small-Large isolated
## 1453 4 16 1008 2|13 low Small-Large isolated
## 1454 4 16 1008 2|13 low Small-Large isolated
## 1455 4 16 1008 2|13 low Small-Large isolated
## 1456 4 16 1008 2|13 low Small-Large isolated
## 1457 4 16 1008 2|13 low Small-Large isolated
## 1458 4 16 1008 2|13 low Small-Large isolated
## 1459 4 16 1008 2|13 low Small-Large isolated
## 1460 4 16 1008 2|13 low Small-Large isolated
## 1461 4 16 1008 2|13 low Small-Large isolated
## 1462 4 16 1008 2|13 low Small-Large isolated
## 1463 4 16 1008 2|13 low Small-Large isolated
## 1464 4 16 1008 2|13 low Small-Large isolated
## 1465 5 20 1008 2|13 low Small-Large isolated
## 1466 5 20 1008 2|13 low Small-Large isolated
## 1467 5 20 1008 2|13 low Small-Large isolated
## 1468 5 20 1008 2|13 low Small-Large isolated
## 1469 5 20 1008 2|13 low Small-Large isolated
## 1470 5 20 1008 2|13 low Small-Large isolated
## 1471 5 20 1008 2|13 low Small-Large isolated
## 1472 5 20 1008 2|13 low Small-Large isolated
## 1473 5 20 1008 2|13 low Small-Large isolated
## 1474 5 20 1008 2|13 low Small-Large isolated
## 1475 5 20 1008 2|13 low Small-Large isolated
## 1476 5 20 1008 2|13 low Small-Large isolated
## 1477 5 20 1008 2|13 low Small-Large isolated
## 1478 5 20 1008 2|13 low Small-Large isolated
## 1479 5 20 1008 2|13 low Small-Large isolated
## 1480 5 20 1008 2|13 low Small-Large isolated
## 1481 5 20 1008 2|13 low Small-Large isolated
## 1482 5 20 1008 2|13 low Small-Large isolated
## 1483 5 20 1008 2|13 low Small-Large isolated
## 1484 5 20 1008 2|13 low Small-Large isolated
## 1485 5 20 1008 2|13 low Small-Large isolated
## 1486 5 20 1008 2|13 low Small-Large isolated
## 1487 5 20 1008 2|13 low Small-Large isolated
## 1488 5 20 1008 2|13 low Small-Large isolated
## 1489 6 24 1008 2|13 low Small-Large isolated
## 1490 6 24 1008 2|13 low Small-Large isolated
## 1491 6 24 1008 2|13 low Small-Large isolated
## 1492 6 24 1008 2|13 low Small-Large isolated
## 1493 6 24 1008 2|13 low Small-Large isolated
## 1494 6 24 1008 2|13 low Small-Large isolated
## 1495 6 24 1008 2|13 low Small-Large isolated
## 1496 6 24 1008 2|13 low Small-Large isolated
## 1497 6 24 1008 2|13 low Small-Large isolated
## 1498 6 24 1008 2|13 low Small-Large isolated
## 1499 6 24 1008 2|13 low Small-Large isolated
## 1500 6 24 1008 2|13 low Small-Large isolated
## 1501 6 24 1008 2|13 low Small-Large isolated
## 1502 6 24 1008 2|13 low Small-Large isolated
## 1503 6 24 1008 2|13 low Small-Large isolated
## 1504 6 24 1008 2|13 low Small-Large isolated
## 1505 6 24 1008 2|13 low Small-Large isolated
## 1506 6 24 1008 2|13 low Small-Large isolated
## 1507 6 24 1008 2|13 low Small-Large isolated
## 1508 6 24 1008 2|13 low Small-Large isolated
## 1509 6 24 1008 2|13 low Small-Large isolated
## 1510 6 24 1008 2|13 low Small-Large isolated
## 1511 6 24 1008 2|13 low Small-Large isolated
## 1512 6 24 1008 2|13 low Small-Large isolated
## 1513 7 28 1008 2|13 low Small-Large isolated
## 1514 7 28 1008 2|13 low Small-Large isolated
## 1515 7 28 1008 2|13 low Small-Large isolated
## 1516 7 28 1008 2|13 low Small-Large isolated
## 1517 7 28 1008 2|13 low Small-Large isolated
## 1518 7 28 1008 2|13 low Small-Large isolated
## 1519 7 28 1008 2|13 low Small-Large isolated
## 1520 7 28 1008 2|13 low Small-Large isolated
## 1521 7 28 1008 2|13 low Small-Large isolated
## 1522 7 28 1008 2|13 low Small-Large isolated
## 1523 7 28 1008 2|13 low Small-Large isolated
## 1524 7 28 1008 2|13 low Small-Large isolated
## 1525 7 28 1008 2|13 low Small-Large isolated
## 1526 7 28 1008 2|13 low Small-Large isolated
## 1527 7 28 1008 2|13 low Small-Large isolated
## 1528 7 28 1008 2|13 low Small-Large isolated
## 1529 7 28 1008 2|13 low Small-Large isolated
## 1530 7 28 1008 2|13 low Small-Large isolated
## 1531 7 28 1008 2|13 low Small-Large isolated
## 1532 7 28 1008 2|13 low Small-Large isolated
## 1533 7 28 1008 2|13 low Small-Large isolated
## 1534 7 28 1008 2|13 low Small-Large isolated
## 1535 7 28 1008 2|13 low Small-Large isolated
## 1536 7 28 1008 2|13 low Small-Large isolated
## 1537 0 0 1009 2|14 low Small-Large isolated
## 1538 0 0 1009 2|14 low Small-Large isolated
## 1539 0 0 1009 2|14 low Small-Large isolated
## 1540 0 0 1009 2|14 low Small-Large isolated
## 1541 0 0 1009 2|14 low Small-Large isolated
## 1542 0 0 1009 2|14 low Small-Large isolated
## 1543 0 0 1009 2|14 low Small-Large isolated
## 1544 0 0 1009 2|14 low Small-Large isolated
## 1545 0 0 1009 2|14 low Small-Large isolated
## 1546 0 0 1009 2|14 low Small-Large isolated
## 1547 0 0 1009 2|14 low Small-Large isolated
## 1548 0 0 1009 2|14 low Small-Large isolated
## 1549 0 0 1009 2|14 low Small-Large isolated
## 1550 0 0 1009 2|14 low Small-Large isolated
## 1551 0 0 1009 2|14 low Small-Large isolated
## 1552 0 0 1009 2|14 low Small-Large isolated
## 1553 0 0 1009 2|14 low Small-Large isolated
## 1554 0 0 1009 2|14 low Small-Large isolated
## 1555 0 0 1009 2|14 low Small-Large isolated
## 1556 0 0 1009 2|14 low Small-Large isolated
## 1557 0 0 1009 2|14 low Small-Large isolated
## 1558 0 0 1009 2|14 low Small-Large isolated
## 1559 0 0 1009 2|14 low Small-Large isolated
## 1560 0 0 1009 2|14 low Small-Large isolated
## 1561 1 4 1009 2|14 low Small-Large isolated
## 1562 1 4 1009 2|14 low Small-Large isolated
## 1563 1 4 1009 2|14 low Small-Large isolated
## 1564 1 4 1009 2|14 low Small-Large isolated
## 1565 1 4 1009 2|14 low Small-Large isolated
## 1566 1 4 1009 2|14 low Small-Large isolated
## 1567 1 4 1009 2|14 low Small-Large isolated
## 1568 1 4 1009 2|14 low Small-Large isolated
## 1569 1 4 1009 2|14 low Small-Large isolated
## 1570 1 4 1009 2|14 low Small-Large isolated
## 1571 1 4 1009 2|14 low Small-Large isolated
## 1572 1 4 1009 2|14 low Small-Large isolated
## 1573 1 4 1009 2|14 low Small-Large isolated
## 1574 1 4 1009 2|14 low Small-Large isolated
## 1575 1 4 1009 2|14 low Small-Large isolated
## 1576 1 4 1009 2|14 low Small-Large isolated
## 1577 1 4 1009 2|14 low Small-Large isolated
## 1578 1 4 1009 2|14 low Small-Large isolated
## 1579 1 4 1009 2|14 low Small-Large isolated
## 1580 1 4 1009 2|14 low Small-Large isolated
## 1581 1 4 1009 2|14 low Small-Large isolated
## 1582 1 4 1009 2|14 low Small-Large isolated
## 1583 1 4 1009 2|14 low Small-Large isolated
## 1584 1 4 1009 2|14 low Small-Large isolated
## 1585 2 8 1009 2|14 low Small-Large isolated
## 1586 2 8 1009 2|14 low Small-Large isolated
## 1587 2 8 1009 2|14 low Small-Large isolated
## 1588 2 8 1009 2|14 low Small-Large isolated
## 1589 2 8 1009 2|14 low Small-Large isolated
## 1590 2 8 1009 2|14 low Small-Large isolated
## 1591 2 8 1009 2|14 low Small-Large isolated
## 1592 2 8 1009 2|14 low Small-Large isolated
## 1593 2 8 1009 2|14 low Small-Large isolated
## 1594 2 8 1009 2|14 low Small-Large isolated
## 1595 2 8 1009 2|14 low Small-Large isolated
## 1596 2 8 1009 2|14 low Small-Large isolated
## 1597 2 8 1009 2|14 low Small-Large isolated
## 1598 2 8 1009 2|14 low Small-Large isolated
## 1599 2 8 1009 2|14 low Small-Large isolated
## 1600 2 8 1009 2|14 low Small-Large isolated
## 1601 2 8 1009 2|14 low Small-Large isolated
## 1602 2 8 1009 2|14 low Small-Large isolated
## 1603 2 8 1009 2|14 low Small-Large isolated
## 1604 2 8 1009 2|14 low Small-Large isolated
## 1605 2 8 1009 2|14 low Small-Large isolated
## 1606 2 8 1009 2|14 low Small-Large isolated
## 1607 2 8 1009 2|14 low Small-Large isolated
## 1608 2 8 1009 2|14 low Small-Large isolated
## 1609 3 12 1009 2|14 low Small-Large isolated
## 1610 3 12 1009 2|14 low Small-Large isolated
## 1611 3 12 1009 2|14 low Small-Large isolated
## 1612 3 12 1009 2|14 low Small-Large isolated
## 1613 3 12 1009 2|14 low Small-Large isolated
## 1614 3 12 1009 2|14 low Small-Large isolated
## 1615 3 12 1009 2|14 low Small-Large isolated
## 1616 3 12 1009 2|14 low Small-Large isolated
## 1617 3 12 1009 2|14 low Small-Large isolated
## 1618 3 12 1009 2|14 low Small-Large isolated
## 1619 3 12 1009 2|14 low Small-Large isolated
## 1620 3 12 1009 2|14 low Small-Large isolated
## 1621 3 12 1009 2|14 low Small-Large isolated
## 1622 3 12 1009 2|14 low Small-Large isolated
## 1623 3 12 1009 2|14 low Small-Large isolated
## 1624 3 12 1009 2|14 low Small-Large isolated
## 1625 3 12 1009 2|14 low Small-Large isolated
## 1626 3 12 1009 2|14 low Small-Large isolated
## 1627 3 12 1009 2|14 low Small-Large isolated
## 1628 3 12 1009 2|14 low Small-Large isolated
## 1629 3 12 1009 2|14 low Small-Large isolated
## 1630 3 12 1009 2|14 low Small-Large isolated
## 1631 3 12 1009 2|14 low Small-Large isolated
## 1632 3 12 1009 2|14 low Small-Large isolated
## 1633 4 16 1009 2|14 low Small-Large isolated
## 1634 4 16 1009 2|14 low Small-Large isolated
## 1635 4 16 1009 2|14 low Small-Large isolated
## 1636 4 16 1009 2|14 low Small-Large isolated
## 1637 4 16 1009 2|14 low Small-Large isolated
## 1638 4 16 1009 2|14 low Small-Large isolated
## 1639 4 16 1009 2|14 low Small-Large isolated
## 1640 4 16 1009 2|14 low Small-Large isolated
## 1641 4 16 1009 2|14 low Small-Large isolated
## 1642 4 16 1009 2|14 low Small-Large isolated
## 1643 4 16 1009 2|14 low Small-Large isolated
## 1644 4 16 1009 2|14 low Small-Large isolated
## 1645 4 16 1009 2|14 low Small-Large isolated
## 1646 4 16 1009 2|14 low Small-Large isolated
## 1647 4 16 1009 2|14 low Small-Large isolated
## 1648 4 16 1009 2|14 low Small-Large isolated
## 1649 4 16 1009 2|14 low Small-Large isolated
## 1650 4 16 1009 2|14 low Small-Large isolated
## 1651 4 16 1009 2|14 low Small-Large isolated
## 1652 4 16 1009 2|14 low Small-Large isolated
## 1653 4 16 1009 2|14 low Small-Large isolated
## 1654 4 16 1009 2|14 low Small-Large isolated
## 1655 4 16 1009 2|14 low Small-Large isolated
## 1656 4 16 1009 2|14 low Small-Large isolated
## 1657 5 20 1009 2|14 low Small-Large isolated
## 1658 5 20 1009 2|14 low Small-Large isolated
## 1659 5 20 1009 2|14 low Small-Large isolated
## 1660 5 20 1009 2|14 low Small-Large isolated
## 1661 5 20 1009 2|14 low Small-Large isolated
## 1662 5 20 1009 2|14 low Small-Large isolated
## 1663 5 20 1009 2|14 low Small-Large isolated
## 1664 5 20 1009 2|14 low Small-Large isolated
## 1665 5 20 1009 2|14 low Small-Large isolated
## 1666 5 20 1009 2|14 low Small-Large isolated
## 1667 5 20 1009 2|14 low Small-Large isolated
## 1668 5 20 1009 2|14 low Small-Large isolated
## 1669 5 20 1009 2|14 low Small-Large isolated
## 1670 5 20 1009 2|14 low Small-Large isolated
## 1671 5 20 1009 2|14 low Small-Large isolated
## 1672 5 20 1009 2|14 low Small-Large isolated
## 1673 5 20 1009 2|14 low Small-Large isolated
## 1674 5 20 1009 2|14 low Small-Large isolated
## 1675 5 20 1009 2|14 low Small-Large isolated
## 1676 5 20 1009 2|14 low Small-Large isolated
## 1677 5 20 1009 2|14 low Small-Large isolated
## 1678 5 20 1009 2|14 low Small-Large isolated
## 1679 5 20 1009 2|14 low Small-Large isolated
## 1680 5 20 1009 2|14 low Small-Large isolated
## 1681 6 24 1009 2|14 low Small-Large isolated
## 1682 6 24 1009 2|14 low Small-Large isolated
## 1683 6 24 1009 2|14 low Small-Large isolated
## 1684 6 24 1009 2|14 low Small-Large isolated
## 1685 6 24 1009 2|14 low Small-Large isolated
## 1686 6 24 1009 2|14 low Small-Large isolated
## 1687 6 24 1009 2|14 low Small-Large isolated
## 1688 6 24 1009 2|14 low Small-Large isolated
## 1689 6 24 1009 2|14 low Small-Large isolated
## 1690 6 24 1009 2|14 low Small-Large isolated
## 1691 6 24 1009 2|14 low Small-Large isolated
## 1692 6 24 1009 2|14 low Small-Large isolated
## 1693 6 24 1009 2|14 low Small-Large isolated
## 1694 6 24 1009 2|14 low Small-Large isolated
## 1695 6 24 1009 2|14 low Small-Large isolated
## 1696 6 24 1009 2|14 low Small-Large isolated
## 1697 6 24 1009 2|14 low Small-Large isolated
## 1698 6 24 1009 2|14 low Small-Large isolated
## 1699 6 24 1009 2|14 low Small-Large isolated
## 1700 6 24 1009 2|14 low Small-Large isolated
## 1701 6 24 1009 2|14 low Small-Large isolated
## 1702 6 24 1009 2|14 low Small-Large isolated
## 1703 6 24 1009 2|14 low Small-Large isolated
## 1704 6 24 1009 2|14 low Small-Large isolated
## 1705 7 28 1009 2|14 low Small-Large isolated
## 1706 7 28 1009 2|14 low Small-Large isolated
## 1707 7 28 1009 2|14 low Small-Large isolated
## 1708 7 28 1009 2|14 low Small-Large isolated
## 1709 7 28 1009 2|14 low Small-Large isolated
## 1710 7 28 1009 2|14 low Small-Large isolated
## 1711 7 28 1009 2|14 low Small-Large isolated
## 1712 7 28 1009 2|14 low Small-Large isolated
## 1713 7 28 1009 2|14 low Small-Large isolated
## 1714 7 28 1009 2|14 low Small-Large isolated
## 1715 7 28 1009 2|14 low Small-Large isolated
## 1716 7 28 1009 2|14 low Small-Large isolated
## 1717 7 28 1009 2|14 low Small-Large isolated
## 1718 7 28 1009 2|14 low Small-Large isolated
## 1719 7 28 1009 2|14 low Small-Large isolated
## 1720 7 28 1009 2|14 low Small-Large isolated
## 1721 7 28 1009 2|14 low Small-Large isolated
## 1722 7 28 1009 2|14 low Small-Large isolated
## 1723 7 28 1009 2|14 low Small-Large isolated
## 1724 7 28 1009 2|14 low Small-Large isolated
## 1725 7 28 1009 2|14 low Small-Large isolated
## 1726 7 28 1009 2|14 low Small-Large isolated
## 1727 7 28 1009 2|14 low Small-Large isolated
## 1728 7 28 1009 2|14 low Small-Large isolated
## 1729 0 0 1010 2|15 low Small-Large isolated
## 1730 0 0 1010 2|15 low Small-Large isolated
## 1731 0 0 1010 2|15 low Small-Large isolated
## 1732 0 0 1010 2|15 low Small-Large isolated
## 1733 0 0 1010 2|15 low Small-Large isolated
## 1734 0 0 1010 2|15 low Small-Large isolated
## 1735 0 0 1010 2|15 low Small-Large isolated
## 1736 0 0 1010 2|15 low Small-Large isolated
## 1737 0 0 1010 2|15 low Small-Large isolated
## 1738 0 0 1010 2|15 low Small-Large isolated
## 1739 0 0 1010 2|15 low Small-Large isolated
## 1740 0 0 1010 2|15 low Small-Large isolated
## 1741 0 0 1010 2|15 low Small-Large isolated
## 1742 0 0 1010 2|15 low Small-Large isolated
## 1743 0 0 1010 2|15 low Small-Large isolated
## 1744 0 0 1010 2|15 low Small-Large isolated
## 1745 0 0 1010 2|15 low Small-Large isolated
## 1746 0 0 1010 2|15 low Small-Large isolated
## 1747 0 0 1010 2|15 low Small-Large isolated
## 1748 0 0 1010 2|15 low Small-Large isolated
## 1749 0 0 1010 2|15 low Small-Large isolated
## 1750 0 0 1010 2|15 low Small-Large isolated
## 1751 0 0 1010 2|15 low Small-Large isolated
## 1752 0 0 1010 2|15 low Small-Large isolated
## 1753 1 4 1010 2|15 low Small-Large isolated
## 1754 1 4 1010 2|15 low Small-Large isolated
## 1755 1 4 1010 2|15 low Small-Large isolated
## 1756 1 4 1010 2|15 low Small-Large isolated
## 1757 1 4 1010 2|15 low Small-Large isolated
## 1758 1 4 1010 2|15 low Small-Large isolated
## 1759 1 4 1010 2|15 low Small-Large isolated
## 1760 1 4 1010 2|15 low Small-Large isolated
## 1761 1 4 1010 2|15 low Small-Large isolated
## 1762 1 4 1010 2|15 low Small-Large isolated
## 1763 1 4 1010 2|15 low Small-Large isolated
## 1764 1 4 1010 2|15 low Small-Large isolated
## 1765 1 4 1010 2|15 low Small-Large isolated
## 1766 1 4 1010 2|15 low Small-Large isolated
## 1767 1 4 1010 2|15 low Small-Large isolated
## 1768 1 4 1010 2|15 low Small-Large isolated
## 1769 1 4 1010 2|15 low Small-Large isolated
## 1770 1 4 1010 2|15 low Small-Large isolated
## 1771 1 4 1010 2|15 low Small-Large isolated
## 1772 1 4 1010 2|15 low Small-Large isolated
## 1773 1 4 1010 2|15 low Small-Large isolated
## 1774 1 4 1010 2|15 low Small-Large isolated
## 1775 1 4 1010 2|15 low Small-Large isolated
## 1776 1 4 1010 2|15 low Small-Large isolated
## 1777 2 8 1010 2|15 low Small-Large isolated
## 1778 2 8 1010 2|15 low Small-Large isolated
## 1779 2 8 1010 2|15 low Small-Large isolated
## 1780 2 8 1010 2|15 low Small-Large isolated
## 1781 2 8 1010 2|15 low Small-Large isolated
## 1782 2 8 1010 2|15 low Small-Large isolated
## 1783 2 8 1010 2|15 low Small-Large isolated
## 1784 2 8 1010 2|15 low Small-Large isolated
## 1785 2 8 1010 2|15 low Small-Large isolated
## 1786 2 8 1010 2|15 low Small-Large isolated
## 1787 2 8 1010 2|15 low Small-Large isolated
## 1788 2 8 1010 2|15 low Small-Large isolated
## 1789 2 8 1010 2|15 low Small-Large isolated
## 1790 2 8 1010 2|15 low Small-Large isolated
## 1791 2 8 1010 2|15 low Small-Large isolated
## 1792 2 8 1010 2|15 low Small-Large isolated
## 1793 2 8 1010 2|15 low Small-Large isolated
## 1794 2 8 1010 2|15 low Small-Large isolated
## 1795 2 8 1010 2|15 low Small-Large isolated
## 1796 2 8 1010 2|15 low Small-Large isolated
## 1797 2 8 1010 2|15 low Small-Large isolated
## 1798 2 8 1010 2|15 low Small-Large isolated
## 1799 2 8 1010 2|15 low Small-Large isolated
## 1800 2 8 1010 2|15 low Small-Large isolated
## 1801 3 12 1010 2|15 low Small-Large isolated
## 1802 3 12 1010 2|15 low Small-Large isolated
## 1803 3 12 1010 2|15 low Small-Large isolated
## 1804 3 12 1010 2|15 low Small-Large isolated
## 1805 3 12 1010 2|15 low Small-Large isolated
## 1806 3 12 1010 2|15 low Small-Large isolated
## 1807 3 12 1010 2|15 low Small-Large isolated
## 1808 3 12 1010 2|15 low Small-Large isolated
## 1809 3 12 1010 2|15 low Small-Large isolated
## 1810 3 12 1010 2|15 low Small-Large isolated
## 1811 3 12 1010 2|15 low Small-Large isolated
## 1812 3 12 1010 2|15 low Small-Large isolated
## 1813 3 12 1010 2|15 low Small-Large isolated
## 1814 3 12 1010 2|15 low Small-Large isolated
## 1815 3 12 1010 2|15 low Small-Large isolated
## 1816 3 12 1010 2|15 low Small-Large isolated
## 1817 3 12 1010 2|15 low Small-Large isolated
## 1818 3 12 1010 2|15 low Small-Large isolated
## 1819 3 12 1010 2|15 low Small-Large isolated
## 1820 3 12 1010 2|15 low Small-Large isolated
## 1821 3 12 1010 2|15 low Small-Large isolated
## 1822 3 12 1010 2|15 low Small-Large isolated
## 1823 3 12 1010 2|15 low Small-Large isolated
## 1824 3 12 1010 2|15 low Small-Large isolated
## 1825 4 16 1010 2|15 low Small-Large isolated
## 1826 4 16 1010 2|15 low Small-Large isolated
## 1827 4 16 1010 2|15 low Small-Large isolated
## 1828 4 16 1010 2|15 low Small-Large isolated
## 1829 4 16 1010 2|15 low Small-Large isolated
## 1830 4 16 1010 2|15 low Small-Large isolated
## 1831 4 16 1010 2|15 low Small-Large isolated
## 1832 4 16 1010 2|15 low Small-Large isolated
## 1833 4 16 1010 2|15 low Small-Large isolated
## 1834 4 16 1010 2|15 low Small-Large isolated
## 1835 4 16 1010 2|15 low Small-Large isolated
## 1836 4 16 1010 2|15 low Small-Large isolated
## 1837 4 16 1010 2|15 low Small-Large isolated
## 1838 4 16 1010 2|15 low Small-Large isolated
## 1839 4 16 1010 2|15 low Small-Large isolated
## 1840 4 16 1010 2|15 low Small-Large isolated
## 1841 4 16 1010 2|15 low Small-Large isolated
## 1842 4 16 1010 2|15 low Small-Large isolated
## 1843 4 16 1010 2|15 low Small-Large isolated
## 1844 4 16 1010 2|15 low Small-Large isolated
## 1845 4 16 1010 2|15 low Small-Large isolated
## 1846 4 16 1010 2|15 low Small-Large isolated
## 1847 4 16 1010 2|15 low Small-Large isolated
## 1848 4 16 1010 2|15 low Small-Large isolated
## 1849 5 20 1010 2|15 low Small-Large isolated
## 1850 5 20 1010 2|15 low Small-Large isolated
## 1851 5 20 1010 2|15 low Small-Large isolated
## 1852 5 20 1010 2|15 low Small-Large isolated
## 1853 5 20 1010 2|15 low Small-Large isolated
## 1854 5 20 1010 2|15 low Small-Large isolated
## 1855 5 20 1010 2|15 low Small-Large isolated
## 1856 5 20 1010 2|15 low Small-Large isolated
## 1857 5 20 1010 2|15 low Small-Large isolated
## 1858 5 20 1010 2|15 low Small-Large isolated
## 1859 5 20 1010 2|15 low Small-Large isolated
## 1860 5 20 1010 2|15 low Small-Large isolated
## 1861 5 20 1010 2|15 low Small-Large isolated
## 1862 5 20 1010 2|15 low Small-Large isolated
## 1863 5 20 1010 2|15 low Small-Large isolated
## 1864 5 20 1010 2|15 low Small-Large isolated
## 1865 5 20 1010 2|15 low Small-Large isolated
## 1866 5 20 1010 2|15 low Small-Large isolated
## 1867 5 20 1010 2|15 low Small-Large isolated
## 1868 5 20 1010 2|15 low Small-Large isolated
## 1869 5 20 1010 2|15 low Small-Large isolated
## 1870 5 20 1010 2|15 low Small-Large isolated
## 1871 5 20 1010 2|15 low Small-Large isolated
## 1872 5 20 1010 2|15 low Small-Large isolated
## 1873 6 24 1010 2|15 low Small-Large isolated
## 1874 6 24 1010 2|15 low Small-Large isolated
## 1875 6 24 1010 2|15 low Small-Large isolated
## 1876 6 24 1010 2|15 low Small-Large isolated
## 1877 6 24 1010 2|15 low Small-Large isolated
## 1878 6 24 1010 2|15 low Small-Large isolated
## 1879 6 24 1010 2|15 low Small-Large isolated
## 1880 6 24 1010 2|15 low Small-Large isolated
## 1881 6 24 1010 2|15 low Small-Large isolated
## 1882 6 24 1010 2|15 low Small-Large isolated
## 1883 6 24 1010 2|15 low Small-Large isolated
## 1884 6 24 1010 2|15 low Small-Large isolated
## 1885 6 24 1010 2|15 low Small-Large isolated
## 1886 6 24 1010 2|15 low Small-Large isolated
## 1887 6 24 1010 2|15 low Small-Large isolated
## 1888 6 24 1010 2|15 low Small-Large isolated
## 1889 6 24 1010 2|15 low Small-Large isolated
## 1890 6 24 1010 2|15 low Small-Large isolated
## 1891 6 24 1010 2|15 low Small-Large isolated
## 1892 6 24 1010 2|15 low Small-Large isolated
## 1893 6 24 1010 2|15 low Small-Large isolated
## 1894 6 24 1010 2|15 low Small-Large isolated
## 1895 6 24 1010 2|15 low Small-Large isolated
## 1896 6 24 1010 2|15 low Small-Large isolated
## 1897 7 28 1010 2|15 low Small-Large isolated
## 1898 7 28 1010 2|15 low Small-Large isolated
## 1899 7 28 1010 2|15 low Small-Large isolated
## 1900 7 28 1010 2|15 low Small-Large isolated
## 1901 7 28 1010 2|15 low Small-Large isolated
## 1902 7 28 1010 2|15 low Small-Large isolated
## 1903 7 28 1010 2|15 low Small-Large isolated
## 1904 7 28 1010 2|15 low Small-Large isolated
## 1905 7 28 1010 2|15 low Small-Large isolated
## 1906 7 28 1010 2|15 low Small-Large isolated
## 1907 7 28 1010 2|15 low Small-Large isolated
## 1908 7 28 1010 2|15 low Small-Large isolated
## 1909 7 28 1010 2|15 low Small-Large isolated
## 1910 7 28 1010 2|15 low Small-Large isolated
## 1911 7 28 1010 2|15 low Small-Large isolated
## 1912 7 28 1010 2|15 low Small-Large isolated
## 1913 7 28 1010 2|15 low Small-Large isolated
## 1914 7 28 1010 2|15 low Small-Large isolated
## 1915 7 28 1010 2|15 low Small-Large isolated
## 1916 7 28 1010 2|15 low Small-Large isolated
## 1917 7 28 1010 2|15 low Small-Large isolated
## 1918 7 28 1010 2|15 low Small-Large isolated
## 1919 7 28 1010 2|15 low Small-Large isolated
## 1920 7 28 1010 2|15 low Small-Large isolated
## 1921 0 0 1011 3|11 low Small-Large isolated
## 1922 0 0 1011 3|11 low Small-Large isolated
## 1923 0 0 1011 3|11 low Small-Large isolated
## 1924 0 0 1011 3|11 low Small-Large isolated
## 1925 0 0 1011 3|11 low Small-Large isolated
## 1926 0 0 1011 3|11 low Small-Large isolated
## 1927 0 0 1011 3|11 low Small-Large isolated
## 1928 0 0 1011 3|11 low Small-Large isolated
## 1929 0 0 1011 3|11 low Small-Large isolated
## 1930 0 0 1011 3|11 low Small-Large isolated
## 1931 0 0 1011 3|11 low Small-Large isolated
## 1932 0 0 1011 3|11 low Small-Large isolated
## 1933 0 0 1011 3|11 low Small-Large isolated
## 1934 0 0 1011 3|11 low Small-Large isolated
## 1935 0 0 1011 3|11 low Small-Large isolated
## 1936 0 0 1011 3|11 low Small-Large isolated
## 1937 0 0 1011 3|11 low Small-Large isolated
## 1938 0 0 1011 3|11 low Small-Large isolated
## 1939 0 0 1011 3|11 low Small-Large isolated
## 1940 0 0 1011 3|11 low Small-Large isolated
## 1941 0 0 1011 3|11 low Small-Large isolated
## 1942 0 0 1011 3|11 low Small-Large isolated
## 1943 0 0 1011 3|11 low Small-Large isolated
## 1944 0 0 1011 3|11 low Small-Large isolated
## 1945 1 4 1011 3|11 low Small-Large isolated
## 1946 1 4 1011 3|11 low Small-Large isolated
## 1947 1 4 1011 3|11 low Small-Large isolated
## 1948 1 4 1011 3|11 low Small-Large isolated
## 1949 1 4 1011 3|11 low Small-Large isolated
## 1950 1 4 1011 3|11 low Small-Large isolated
## 1951 1 4 1011 3|11 low Small-Large isolated
## 1952 1 4 1011 3|11 low Small-Large isolated
## 1953 1 4 1011 3|11 low Small-Large isolated
## 1954 1 4 1011 3|11 low Small-Large isolated
## 1955 1 4 1011 3|11 low Small-Large isolated
## 1956 1 4 1011 3|11 low Small-Large isolated
## 1957 1 4 1011 3|11 low Small-Large isolated
## 1958 1 4 1011 3|11 low Small-Large isolated
## 1959 1 4 1011 3|11 low Small-Large isolated
## 1960 1 4 1011 3|11 low Small-Large isolated
## 1961 1 4 1011 3|11 low Small-Large isolated
## 1962 1 4 1011 3|11 low Small-Large isolated
## 1963 1 4 1011 3|11 low Small-Large isolated
## 1964 1 4 1011 3|11 low Small-Large isolated
## 1965 1 4 1011 3|11 low Small-Large isolated
## 1966 1 4 1011 3|11 low Small-Large isolated
## 1967 1 4 1011 3|11 low Small-Large isolated
## 1968 1 4 1011 3|11 low Small-Large isolated
## 1969 2 8 1011 3|11 low Small-Large isolated
## 1970 2 8 1011 3|11 low Small-Large isolated
## 1971 2 8 1011 3|11 low Small-Large isolated
## 1972 2 8 1011 3|11 low Small-Large isolated
## 1973 2 8 1011 3|11 low Small-Large isolated
## 1974 2 8 1011 3|11 low Small-Large isolated
## 1975 2 8 1011 3|11 low Small-Large isolated
## 1976 2 8 1011 3|11 low Small-Large isolated
## 1977 2 8 1011 3|11 low Small-Large isolated
## 1978 2 8 1011 3|11 low Small-Large isolated
## 1979 2 8 1011 3|11 low Small-Large isolated
## 1980 2 8 1011 3|11 low Small-Large isolated
## 1981 2 8 1011 3|11 low Small-Large isolated
## 1982 2 8 1011 3|11 low Small-Large isolated
## 1983 2 8 1011 3|11 low Small-Large isolated
## 1984 2 8 1011 3|11 low Small-Large isolated
## 1985 2 8 1011 3|11 low Small-Large isolated
## 1986 2 8 1011 3|11 low Small-Large isolated
## 1987 2 8 1011 3|11 low Small-Large isolated
## 1988 2 8 1011 3|11 low Small-Large isolated
## 1989 2 8 1011 3|11 low Small-Large isolated
## 1990 2 8 1011 3|11 low Small-Large isolated
## 1991 2 8 1011 3|11 low Small-Large isolated
## 1992 2 8 1011 3|11 low Small-Large isolated
## 1993 3 12 1011 3|11 low Small-Large isolated
## 1994 3 12 1011 3|11 low Small-Large isolated
## 1995 3 12 1011 3|11 low Small-Large isolated
## 1996 3 12 1011 3|11 low Small-Large isolated
## 1997 3 12 1011 3|11 low Small-Large isolated
## 1998 3 12 1011 3|11 low Small-Large isolated
## 1999 3 12 1011 3|11 low Small-Large isolated
## 2000 3 12 1011 3|11 low Small-Large isolated
## 2001 3 12 1011 3|11 low Small-Large isolated
## 2002 3 12 1011 3|11 low Small-Large isolated
## 2003 3 12 1011 3|11 low Small-Large isolated
## 2004 3 12 1011 3|11 low Small-Large isolated
## 2005 3 12 1011 3|11 low Small-Large isolated
## 2006 3 12 1011 3|11 low Small-Large isolated
## 2007 3 12 1011 3|11 low Small-Large isolated
## 2008 3 12 1011 3|11 low Small-Large isolated
## 2009 3 12 1011 3|11 low Small-Large isolated
## 2010 3 12 1011 3|11 low Small-Large isolated
## 2011 3 12 1011 3|11 low Small-Large isolated
## 2012 3 12 1011 3|11 low Small-Large isolated
## 2013 3 12 1011 3|11 low Small-Large isolated
## 2014 3 12 1011 3|11 low Small-Large isolated
## 2015 3 12 1011 3|11 low Small-Large isolated
## 2016 3 12 1011 3|11 low Small-Large isolated
## 2017 4 16 1011 3|11 low Small-Large isolated
## 2018 4 16 1011 3|11 low Small-Large isolated
## 2019 4 16 1011 3|11 low Small-Large isolated
## 2020 4 16 1011 3|11 low Small-Large isolated
## 2021 4 16 1011 3|11 low Small-Large isolated
## 2022 4 16 1011 3|11 low Small-Large isolated
## 2023 4 16 1011 3|11 low Small-Large isolated
## 2024 4 16 1011 3|11 low Small-Large isolated
## 2025 4 16 1011 3|11 low Small-Large isolated
## 2026 4 16 1011 3|11 low Small-Large isolated
## 2027 4 16 1011 3|11 low Small-Large isolated
## 2028 4 16 1011 3|11 low Small-Large isolated
## 2029 4 16 1011 3|11 low Small-Large isolated
## 2030 4 16 1011 3|11 low Small-Large isolated
## 2031 4 16 1011 3|11 low Small-Large isolated
## 2032 4 16 1011 3|11 low Small-Large isolated
## 2033 4 16 1011 3|11 low Small-Large isolated
## 2034 4 16 1011 3|11 low Small-Large isolated
## 2035 4 16 1011 3|11 low Small-Large isolated
## 2036 4 16 1011 3|11 low Small-Large isolated
## 2037 4 16 1011 3|11 low Small-Large isolated
## 2038 4 16 1011 3|11 low Small-Large isolated
## 2039 4 16 1011 3|11 low Small-Large isolated
## 2040 4 16 1011 3|11 low Small-Large isolated
## 2041 5 20 1011 3|11 low Small-Large isolated
## 2042 5 20 1011 3|11 low Small-Large isolated
## 2043 5 20 1011 3|11 low Small-Large isolated
## 2044 5 20 1011 3|11 low Small-Large isolated
## 2045 5 20 1011 3|11 low Small-Large isolated
## 2046 5 20 1011 3|11 low Small-Large isolated
## 2047 5 20 1011 3|11 low Small-Large isolated
## 2048 5 20 1011 3|11 low Small-Large isolated
## 2049 5 20 1011 3|11 low Small-Large isolated
## 2050 5 20 1011 3|11 low Small-Large isolated
## 2051 5 20 1011 3|11 low Small-Large isolated
## 2052 5 20 1011 3|11 low Small-Large isolated
## 2053 5 20 1011 3|11 low Small-Large isolated
## 2054 5 20 1011 3|11 low Small-Large isolated
## 2055 5 20 1011 3|11 low Small-Large isolated
## 2056 5 20 1011 3|11 low Small-Large isolated
## 2057 5 20 1011 3|11 low Small-Large isolated
## 2058 5 20 1011 3|11 low Small-Large isolated
## 2059 5 20 1011 3|11 low Small-Large isolated
## 2060 5 20 1011 3|11 low Small-Large isolated
## 2061 5 20 1011 3|11 low Small-Large isolated
## 2062 5 20 1011 3|11 low Small-Large isolated
## 2063 5 20 1011 3|11 low Small-Large isolated
## 2064 5 20 1011 3|11 low Small-Large isolated
## 2065 6 24 1011 3|11 low Small-Large isolated
## 2066 6 24 1011 3|11 low Small-Large isolated
## 2067 6 24 1011 3|11 low Small-Large isolated
## 2068 6 24 1011 3|11 low Small-Large isolated
## 2069 6 24 1011 3|11 low Small-Large isolated
## 2070 6 24 1011 3|11 low Small-Large isolated
## 2071 6 24 1011 3|11 low Small-Large isolated
## 2072 6 24 1011 3|11 low Small-Large isolated
## 2073 6 24 1011 3|11 low Small-Large isolated
## 2074 6 24 1011 3|11 low Small-Large isolated
## 2075 6 24 1011 3|11 low Small-Large isolated
## 2076 6 24 1011 3|11 low Small-Large isolated
## 2077 6 24 1011 3|11 low Small-Large isolated
## 2078 6 24 1011 3|11 low Small-Large isolated
## 2079 6 24 1011 3|11 low Small-Large isolated
## 2080 6 24 1011 3|11 low Small-Large isolated
## 2081 6 24 1011 3|11 low Small-Large isolated
## 2082 6 24 1011 3|11 low Small-Large isolated
## 2083 6 24 1011 3|11 low Small-Large isolated
## 2084 6 24 1011 3|11 low Small-Large isolated
## 2085 6 24 1011 3|11 low Small-Large isolated
## 2086 6 24 1011 3|11 low Small-Large isolated
## 2087 6 24 1011 3|11 low Small-Large isolated
## 2088 6 24 1011 3|11 low Small-Large isolated
## 2089 7 28 1011 3|11 low Small-Large isolated
## 2090 7 28 1011 3|11 low Small-Large isolated
## 2091 7 28 1011 3|11 low Small-Large isolated
## 2092 7 28 1011 3|11 low Small-Large isolated
## 2093 7 28 1011 3|11 low Small-Large isolated
## 2094 7 28 1011 3|11 low Small-Large isolated
## 2095 7 28 1011 3|11 low Small-Large isolated
## 2096 7 28 1011 3|11 low Small-Large isolated
## 2097 7 28 1011 3|11 low Small-Large isolated
## 2098 7 28 1011 3|11 low Small-Large isolated
## 2099 7 28 1011 3|11 low Small-Large isolated
## 2100 7 28 1011 3|11 low Small-Large isolated
## 2101 7 28 1011 3|11 low Small-Large isolated
## 2102 7 28 1011 3|11 low Small-Large isolated
## 2103 7 28 1011 3|11 low Small-Large isolated
## 2104 7 28 1011 3|11 low Small-Large isolated
## 2105 7 28 1011 3|11 low Small-Large isolated
## 2106 7 28 1011 3|11 low Small-Large isolated
## 2107 7 28 1011 3|11 low Small-Large isolated
## 2108 7 28 1011 3|11 low Small-Large isolated
## 2109 7 28 1011 3|11 low Small-Large isolated
## 2110 7 28 1011 3|11 low Small-Large isolated
## 2111 7 28 1011 3|11 low Small-Large isolated
## 2112 7 28 1011 3|11 low Small-Large isolated
## 2113 0 0 1012 3|12 low Small-Large isolated
## 2114 0 0 1012 3|12 low Small-Large isolated
## 2115 0 0 1012 3|12 low Small-Large isolated
## 2116 0 0 1012 3|12 low Small-Large isolated
## 2117 0 0 1012 3|12 low Small-Large isolated
## 2118 0 0 1012 3|12 low Small-Large isolated
## 2119 0 0 1012 3|12 low Small-Large isolated
## 2120 0 0 1012 3|12 low Small-Large isolated
## 2121 0 0 1012 3|12 low Small-Large isolated
## 2122 0 0 1012 3|12 low Small-Large isolated
## 2123 0 0 1012 3|12 low Small-Large isolated
## 2124 0 0 1012 3|12 low Small-Large isolated
## 2125 0 0 1012 3|12 low Small-Large isolated
## 2126 0 0 1012 3|12 low Small-Large isolated
## 2127 0 0 1012 3|12 low Small-Large isolated
## 2128 0 0 1012 3|12 low Small-Large isolated
## 2129 0 0 1012 3|12 low Small-Large isolated
## 2130 0 0 1012 3|12 low Small-Large isolated
## 2131 0 0 1012 3|12 low Small-Large isolated
## 2132 0 0 1012 3|12 low Small-Large isolated
## 2133 0 0 1012 3|12 low Small-Large isolated
## 2134 0 0 1012 3|12 low Small-Large isolated
## 2135 0 0 1012 3|12 low Small-Large isolated
## 2136 0 0 1012 3|12 low Small-Large isolated
## 2137 1 4 1012 3|12 low Small-Large isolated
## 2138 1 4 1012 3|12 low Small-Large isolated
## 2139 1 4 1012 3|12 low Small-Large isolated
## 2140 1 4 1012 3|12 low Small-Large isolated
## 2141 1 4 1012 3|12 low Small-Large isolated
## 2142 1 4 1012 3|12 low Small-Large isolated
## 2143 1 4 1012 3|12 low Small-Large isolated
## 2144 1 4 1012 3|12 low Small-Large isolated
## 2145 1 4 1012 3|12 low Small-Large isolated
## 2146 1 4 1012 3|12 low Small-Large isolated
## 2147 1 4 1012 3|12 low Small-Large isolated
## 2148 1 4 1012 3|12 low Small-Large isolated
## 2149 1 4 1012 3|12 low Small-Large isolated
## 2150 1 4 1012 3|12 low Small-Large isolated
## 2151 1 4 1012 3|12 low Small-Large isolated
## 2152 1 4 1012 3|12 low Small-Large isolated
## 2153 1 4 1012 3|12 low Small-Large isolated
## 2154 1 4 1012 3|12 low Small-Large isolated
## 2155 1 4 1012 3|12 low Small-Large isolated
## 2156 1 4 1012 3|12 low Small-Large isolated
## 2157 1 4 1012 3|12 low Small-Large isolated
## 2158 1 4 1012 3|12 low Small-Large isolated
## 2159 1 4 1012 3|12 low Small-Large isolated
## 2160 1 4 1012 3|12 low Small-Large isolated
## 2161 2 8 1012 3|12 low Small-Large isolated
## 2162 2 8 1012 3|12 low Small-Large isolated
## 2163 2 8 1012 3|12 low Small-Large isolated
## 2164 2 8 1012 3|12 low Small-Large isolated
## 2165 2 8 1012 3|12 low Small-Large isolated
## 2166 2 8 1012 3|12 low Small-Large isolated
## 2167 2 8 1012 3|12 low Small-Large isolated
## 2168 2 8 1012 3|12 low Small-Large isolated
## 2169 2 8 1012 3|12 low Small-Large isolated
## 2170 2 8 1012 3|12 low Small-Large isolated
## 2171 2 8 1012 3|12 low Small-Large isolated
## 2172 2 8 1012 3|12 low Small-Large isolated
## 2173 2 8 1012 3|12 low Small-Large isolated
## 2174 2 8 1012 3|12 low Small-Large isolated
## 2175 2 8 1012 3|12 low Small-Large isolated
## 2176 2 8 1012 3|12 low Small-Large isolated
## 2177 2 8 1012 3|12 low Small-Large isolated
## 2178 2 8 1012 3|12 low Small-Large isolated
## 2179 2 8 1012 3|12 low Small-Large isolated
## 2180 2 8 1012 3|12 low Small-Large isolated
## 2181 2 8 1012 3|12 low Small-Large isolated
## 2182 2 8 1012 3|12 low Small-Large isolated
## 2183 2 8 1012 3|12 low Small-Large isolated
## 2184 2 8 1012 3|12 low Small-Large isolated
## 2185 3 12 1012 3|12 low Small-Large isolated
## 2186 3 12 1012 3|12 low Small-Large isolated
## 2187 3 12 1012 3|12 low Small-Large isolated
## 2188 3 12 1012 3|12 low Small-Large isolated
## 2189 3 12 1012 3|12 low Small-Large isolated
## 2190 3 12 1012 3|12 low Small-Large isolated
## 2191 3 12 1012 3|12 low Small-Large isolated
## 2192 3 12 1012 3|12 low Small-Large isolated
## 2193 3 12 1012 3|12 low Small-Large isolated
## 2194 3 12 1012 3|12 low Small-Large isolated
## 2195 3 12 1012 3|12 low Small-Large isolated
## 2196 3 12 1012 3|12 low Small-Large isolated
## 2197 3 12 1012 3|12 low Small-Large isolated
## 2198 3 12 1012 3|12 low Small-Large isolated
## 2199 3 12 1012 3|12 low Small-Large isolated
## 2200 3 12 1012 3|12 low Small-Large isolated
## 2201 3 12 1012 3|12 low Small-Large isolated
## 2202 3 12 1012 3|12 low Small-Large isolated
## 2203 3 12 1012 3|12 low Small-Large isolated
## 2204 3 12 1012 3|12 low Small-Large isolated
## 2205 3 12 1012 3|12 low Small-Large isolated
## 2206 3 12 1012 3|12 low Small-Large isolated
## 2207 3 12 1012 3|12 low Small-Large isolated
## 2208 3 12 1012 3|12 low Small-Large isolated
## 2209 4 16 1012 3|12 low Small-Large isolated
## 2210 4 16 1012 3|12 low Small-Large isolated
## 2211 4 16 1012 3|12 low Small-Large isolated
## 2212 4 16 1012 3|12 low Small-Large isolated
## 2213 4 16 1012 3|12 low Small-Large isolated
## 2214 4 16 1012 3|12 low Small-Large isolated
## 2215 4 16 1012 3|12 low Small-Large isolated
## 2216 4 16 1012 3|12 low Small-Large isolated
## 2217 4 16 1012 3|12 low Small-Large isolated
## 2218 4 16 1012 3|12 low Small-Large isolated
## 2219 4 16 1012 3|12 low Small-Large isolated
## 2220 4 16 1012 3|12 low Small-Large isolated
## 2221 4 16 1012 3|12 low Small-Large isolated
## 2222 4 16 1012 3|12 low Small-Large isolated
## 2223 4 16 1012 3|12 low Small-Large isolated
## 2224 4 16 1012 3|12 low Small-Large isolated
## 2225 4 16 1012 3|12 low Small-Large isolated
## 2226 4 16 1012 3|12 low Small-Large isolated
## 2227 4 16 1012 3|12 low Small-Large isolated
## 2228 4 16 1012 3|12 low Small-Large isolated
## 2229 4 16 1012 3|12 low Small-Large isolated
## 2230 4 16 1012 3|12 low Small-Large isolated
## 2231 4 16 1012 3|12 low Small-Large isolated
## 2232 4 16 1012 3|12 low Small-Large isolated
## 2233 5 20 1012 3|12 low Small-Large isolated
## 2234 5 20 1012 3|12 low Small-Large isolated
## 2235 5 20 1012 3|12 low Small-Large isolated
## 2236 5 20 1012 3|12 low Small-Large isolated
## 2237 5 20 1012 3|12 low Small-Large isolated
## 2238 5 20 1012 3|12 low Small-Large isolated
## 2239 5 20 1012 3|12 low Small-Large isolated
## 2240 5 20 1012 3|12 low Small-Large isolated
## 2241 5 20 1012 3|12 low Small-Large isolated
## 2242 5 20 1012 3|12 low Small-Large isolated
## 2243 5 20 1012 3|12 low Small-Large isolated
## 2244 5 20 1012 3|12 low Small-Large isolated
## 2245 5 20 1012 3|12 low Small-Large isolated
## 2246 5 20 1012 3|12 low Small-Large isolated
## 2247 5 20 1012 3|12 low Small-Large isolated
## 2248 5 20 1012 3|12 low Small-Large isolated
## 2249 5 20 1012 3|12 low Small-Large isolated
## 2250 5 20 1012 3|12 low Small-Large isolated
## 2251 5 20 1012 3|12 low Small-Large isolated
## 2252 5 20 1012 3|12 low Small-Large isolated
## 2253 5 20 1012 3|12 low Small-Large isolated
## 2254 5 20 1012 3|12 low Small-Large isolated
## 2255 5 20 1012 3|12 low Small-Large isolated
## 2256 5 20 1012 3|12 low Small-Large isolated
## 2257 6 24 1012 3|12 low Small-Large isolated
## 2258 6 24 1012 3|12 low Small-Large isolated
## 2259 6 24 1012 3|12 low Small-Large isolated
## 2260 6 24 1012 3|12 low Small-Large isolated
## 2261 6 24 1012 3|12 low Small-Large isolated
## 2262 6 24 1012 3|12 low Small-Large isolated
## 2263 6 24 1012 3|12 low Small-Large isolated
## 2264 6 24 1012 3|12 low Small-Large isolated
## 2265 6 24 1012 3|12 low Small-Large isolated
## 2266 6 24 1012 3|12 low Small-Large isolated
## 2267 6 24 1012 3|12 low Small-Large isolated
## 2268 6 24 1012 3|12 low Small-Large isolated
## 2269 6 24 1012 3|12 low Small-Large isolated
## 2270 6 24 1012 3|12 low Small-Large isolated
## 2271 6 24 1012 3|12 low Small-Large isolated
## 2272 6 24 1012 3|12 low Small-Large isolated
## 2273 6 24 1012 3|12 low Small-Large isolated
## 2274 6 24 1012 3|12 low Small-Large isolated
## 2275 6 24 1012 3|12 low Small-Large isolated
## 2276 6 24 1012 3|12 low Small-Large isolated
## 2277 6 24 1012 3|12 low Small-Large isolated
## 2278 6 24 1012 3|12 low Small-Large isolated
## 2279 6 24 1012 3|12 low Small-Large isolated
## 2280 6 24 1012 3|12 low Small-Large isolated
## 2281 7 28 1012 3|12 low Small-Large isolated
## 2282 7 28 1012 3|12 low Small-Large isolated
## 2283 7 28 1012 3|12 low Small-Large isolated
## 2284 7 28 1012 3|12 low Small-Large isolated
## 2285 7 28 1012 3|12 low Small-Large isolated
## 2286 7 28 1012 3|12 low Small-Large isolated
## 2287 7 28 1012 3|12 low Small-Large isolated
## 2288 7 28 1012 3|12 low Small-Large isolated
## 2289 7 28 1012 3|12 low Small-Large isolated
## 2290 7 28 1012 3|12 low Small-Large isolated
## 2291 7 28 1012 3|12 low Small-Large isolated
## 2292 7 28 1012 3|12 low Small-Large isolated
## 2293 7 28 1012 3|12 low Small-Large isolated
## 2294 7 28 1012 3|12 low Small-Large isolated
## 2295 7 28 1012 3|12 low Small-Large isolated
## 2296 7 28 1012 3|12 low Small-Large isolated
## 2297 7 28 1012 3|12 low Small-Large isolated
## 2298 7 28 1012 3|12 low Small-Large isolated
## 2299 7 28 1012 3|12 low Small-Large isolated
## 2300 7 28 1012 3|12 low Small-Large isolated
## 2301 7 28 1012 3|12 low Small-Large isolated
## 2302 7 28 1012 3|12 low Small-Large isolated
## 2303 7 28 1012 3|12 low Small-Large isolated
## 2304 7 28 1012 3|12 low Small-Large isolated
## 2305 0 0 1013 3|13 low Small-Large isolated
## 2306 0 0 1013 3|13 low Small-Large isolated
## 2307 0 0 1013 3|13 low Small-Large isolated
## 2308 0 0 1013 3|13 low Small-Large isolated
## 2309 0 0 1013 3|13 low Small-Large isolated
## 2310 0 0 1013 3|13 low Small-Large isolated
## 2311 0 0 1013 3|13 low Small-Large isolated
## 2312 0 0 1013 3|13 low Small-Large isolated
## 2313 0 0 1013 3|13 low Small-Large isolated
## 2314 0 0 1013 3|13 low Small-Large isolated
## 2315 0 0 1013 3|13 low Small-Large isolated
## 2316 0 0 1013 3|13 low Small-Large isolated
## 2317 0 0 1013 3|13 low Small-Large isolated
## 2318 0 0 1013 3|13 low Small-Large isolated
## 2319 0 0 1013 3|13 low Small-Large isolated
## 2320 0 0 1013 3|13 low Small-Large isolated
## 2321 0 0 1013 3|13 low Small-Large isolated
## 2322 0 0 1013 3|13 low Small-Large isolated
## 2323 0 0 1013 3|13 low Small-Large isolated
## 2324 0 0 1013 3|13 low Small-Large isolated
## 2325 0 0 1013 3|13 low Small-Large isolated
## 2326 0 0 1013 3|13 low Small-Large isolated
## 2327 0 0 1013 3|13 low Small-Large isolated
## 2328 0 0 1013 3|13 low Small-Large isolated
## 2329 1 4 1013 3|13 low Small-Large isolated
## 2330 1 4 1013 3|13 low Small-Large isolated
## 2331 1 4 1013 3|13 low Small-Large isolated
## 2332 1 4 1013 3|13 low Small-Large isolated
## 2333 1 4 1013 3|13 low Small-Large isolated
## 2334 1 4 1013 3|13 low Small-Large isolated
## 2335 1 4 1013 3|13 low Small-Large isolated
## 2336 1 4 1013 3|13 low Small-Large isolated
## 2337 1 4 1013 3|13 low Small-Large isolated
## 2338 1 4 1013 3|13 low Small-Large isolated
## 2339 1 4 1013 3|13 low Small-Large isolated
## 2340 1 4 1013 3|13 low Small-Large isolated
## 2341 1 4 1013 3|13 low Small-Large isolated
## 2342 1 4 1013 3|13 low Small-Large isolated
## 2343 1 4 1013 3|13 low Small-Large isolated
## 2344 1 4 1013 3|13 low Small-Large isolated
## 2345 1 4 1013 3|13 low Small-Large isolated
## 2346 1 4 1013 3|13 low Small-Large isolated
## 2347 1 4 1013 3|13 low Small-Large isolated
## 2348 1 4 1013 3|13 low Small-Large isolated
## 2349 1 4 1013 3|13 low Small-Large isolated
## 2350 1 4 1013 3|13 low Small-Large isolated
## 2351 1 4 1013 3|13 low Small-Large isolated
## 2352 1 4 1013 3|13 low Small-Large isolated
## 2353 2 8 1013 3|13 low Small-Large isolated
## 2354 2 8 1013 3|13 low Small-Large isolated
## 2355 2 8 1013 3|13 low Small-Large isolated
## 2356 2 8 1013 3|13 low Small-Large isolated
## 2357 2 8 1013 3|13 low Small-Large isolated
## 2358 2 8 1013 3|13 low Small-Large isolated
## 2359 2 8 1013 3|13 low Small-Large isolated
## 2360 2 8 1013 3|13 low Small-Large isolated
## 2361 2 8 1013 3|13 low Small-Large isolated
## 2362 2 8 1013 3|13 low Small-Large isolated
## 2363 2 8 1013 3|13 low Small-Large isolated
## 2364 2 8 1013 3|13 low Small-Large isolated
## 2365 2 8 1013 3|13 low Small-Large isolated
## 2366 2 8 1013 3|13 low Small-Large isolated
## 2367 2 8 1013 3|13 low Small-Large isolated
## 2368 2 8 1013 3|13 low Small-Large isolated
## 2369 2 8 1013 3|13 low Small-Large isolated
## 2370 2 8 1013 3|13 low Small-Large isolated
## 2371 2 8 1013 3|13 low Small-Large isolated
## 2372 2 8 1013 3|13 low Small-Large isolated
## 2373 2 8 1013 3|13 low Small-Large isolated
## 2374 2 8 1013 3|13 low Small-Large isolated
## 2375 2 8 1013 3|13 low Small-Large isolated
## 2376 2 8 1013 3|13 low Small-Large isolated
## 2377 3 12 1013 3|13 low Small-Large isolated
## 2378 3 12 1013 3|13 low Small-Large isolated
## 2379 3 12 1013 3|13 low Small-Large isolated
## 2380 3 12 1013 3|13 low Small-Large isolated
## 2381 3 12 1013 3|13 low Small-Large isolated
## 2382 3 12 1013 3|13 low Small-Large isolated
## 2383 3 12 1013 3|13 low Small-Large isolated
## 2384 3 12 1013 3|13 low Small-Large isolated
## 2385 3 12 1013 3|13 low Small-Large isolated
## 2386 3 12 1013 3|13 low Small-Large isolated
## 2387 3 12 1013 3|13 low Small-Large isolated
## 2388 3 12 1013 3|13 low Small-Large isolated
## 2389 3 12 1013 3|13 low Small-Large isolated
## 2390 3 12 1013 3|13 low Small-Large isolated
## 2391 3 12 1013 3|13 low Small-Large isolated
## 2392 3 12 1013 3|13 low Small-Large isolated
## 2393 3 12 1013 3|13 low Small-Large isolated
## 2394 3 12 1013 3|13 low Small-Large isolated
## 2395 3 12 1013 3|13 low Small-Large isolated
## 2396 3 12 1013 3|13 low Small-Large isolated
## 2397 3 12 1013 3|13 low Small-Large isolated
## 2398 3 12 1013 3|13 low Small-Large isolated
## 2399 3 12 1013 3|13 low Small-Large isolated
## 2400 3 12 1013 3|13 low Small-Large isolated
## 2401 4 16 1013 3|13 low Small-Large isolated
## 2402 4 16 1013 3|13 low Small-Large isolated
## 2403 4 16 1013 3|13 low Small-Large isolated
## 2404 4 16 1013 3|13 low Small-Large isolated
## 2405 4 16 1013 3|13 low Small-Large isolated
## 2406 4 16 1013 3|13 low Small-Large isolated
## 2407 4 16 1013 3|13 low Small-Large isolated
## 2408 4 16 1013 3|13 low Small-Large isolated
## 2409 4 16 1013 3|13 low Small-Large isolated
## 2410 4 16 1013 3|13 low Small-Large isolated
## 2411 4 16 1013 3|13 low Small-Large isolated
## 2412 4 16 1013 3|13 low Small-Large isolated
## 2413 4 16 1013 3|13 low Small-Large isolated
## 2414 4 16 1013 3|13 low Small-Large isolated
## 2415 4 16 1013 3|13 low Small-Large isolated
## 2416 4 16 1013 3|13 low Small-Large isolated
## 2417 4 16 1013 3|13 low Small-Large isolated
## 2418 4 16 1013 3|13 low Small-Large isolated
## 2419 4 16 1013 3|13 low Small-Large isolated
## 2420 4 16 1013 3|13 low Small-Large isolated
## 2421 4 16 1013 3|13 low Small-Large isolated
## 2422 4 16 1013 3|13 low Small-Large isolated
## 2423 4 16 1013 3|13 low Small-Large isolated
## 2424 4 16 1013 3|13 low Small-Large isolated
## 2425 5 20 1013 3|13 low Small-Large isolated
## 2426 5 20 1013 3|13 low Small-Large isolated
## 2427 5 20 1013 3|13 low Small-Large isolated
## 2428 5 20 1013 3|13 low Small-Large isolated
## 2429 5 20 1013 3|13 low Small-Large isolated
## 2430 5 20 1013 3|13 low Small-Large isolated
## 2431 5 20 1013 3|13 low Small-Large isolated
## 2432 5 20 1013 3|13 low Small-Large isolated
## 2433 5 20 1013 3|13 low Small-Large isolated
## 2434 5 20 1013 3|13 low Small-Large isolated
## 2435 5 20 1013 3|13 low Small-Large isolated
## 2436 5 20 1013 3|13 low Small-Large isolated
## 2437 5 20 1013 3|13 low Small-Large isolated
## 2438 5 20 1013 3|13 low Small-Large isolated
## 2439 5 20 1013 3|13 low Small-Large isolated
## 2440 5 20 1013 3|13 low Small-Large isolated
## 2441 5 20 1013 3|13 low Small-Large isolated
## 2442 5 20 1013 3|13 low Small-Large isolated
## 2443 5 20 1013 3|13 low Small-Large isolated
## 2444 5 20 1013 3|13 low Small-Large isolated
## 2445 5 20 1013 3|13 low Small-Large isolated
## 2446 5 20 1013 3|13 low Small-Large isolated
## 2447 5 20 1013 3|13 low Small-Large isolated
## 2448 5 20 1013 3|13 low Small-Large isolated
## 2449 6 24 1013 3|13 low Small-Large isolated
## 2450 6 24 1013 3|13 low Small-Large isolated
## 2451 6 24 1013 3|13 low Small-Large isolated
## 2452 6 24 1013 3|13 low Small-Large isolated
## 2453 6 24 1013 3|13 low Small-Large isolated
## 2454 6 24 1013 3|13 low Small-Large isolated
## 2455 6 24 1013 3|13 low Small-Large isolated
## 2456 6 24 1013 3|13 low Small-Large isolated
## 2457 6 24 1013 3|13 low Small-Large isolated
## 2458 6 24 1013 3|13 low Small-Large isolated
## 2459 6 24 1013 3|13 low Small-Large isolated
## 2460 6 24 1013 3|13 low Small-Large isolated
## 2461 6 24 1013 3|13 low Small-Large isolated
## 2462 6 24 1013 3|13 low Small-Large isolated
## 2463 6 24 1013 3|13 low Small-Large isolated
## 2464 6 24 1013 3|13 low Small-Large isolated
## 2465 6 24 1013 3|13 low Small-Large isolated
## 2466 6 24 1013 3|13 low Small-Large isolated
## 2467 6 24 1013 3|13 low Small-Large isolated
## 2468 6 24 1013 3|13 low Small-Large isolated
## 2469 6 24 1013 3|13 low Small-Large isolated
## 2470 6 24 1013 3|13 low Small-Large isolated
## 2471 6 24 1013 3|13 low Small-Large isolated
## 2472 6 24 1013 3|13 low Small-Large isolated
## 2473 7 28 1013 3|13 low Small-Large isolated
## 2474 7 28 1013 3|13 low Small-Large isolated
## 2475 7 28 1013 3|13 low Small-Large isolated
## 2476 7 28 1013 3|13 low Small-Large isolated
## 2477 7 28 1013 3|13 low Small-Large isolated
## 2478 7 28 1013 3|13 low Small-Large isolated
## 2479 7 28 1013 3|13 low Small-Large isolated
## 2480 7 28 1013 3|13 low Small-Large isolated
## 2481 7 28 1013 3|13 low Small-Large isolated
## 2482 7 28 1013 3|13 low Small-Large isolated
## 2483 7 28 1013 3|13 low Small-Large isolated
## 2484 7 28 1013 3|13 low Small-Large isolated
## 2485 7 28 1013 3|13 low Small-Large isolated
## 2486 7 28 1013 3|13 low Small-Large isolated
## 2487 7 28 1013 3|13 low Small-Large isolated
## 2488 7 28 1013 3|13 low Small-Large isolated
## 2489 7 28 1013 3|13 low Small-Large isolated
## 2490 7 28 1013 3|13 low Small-Large isolated
## 2491 7 28 1013 3|13 low Small-Large isolated
## 2492 7 28 1013 3|13 low Small-Large isolated
## 2493 7 28 1013 3|13 low Small-Large isolated
## 2494 7 28 1013 3|13 low Small-Large isolated
## 2495 7 28 1013 3|13 low Small-Large isolated
## 2496 7 28 1013 3|13 low Small-Large isolated
## 2497 0 0 1014 3|14 low Small-Large isolated
## 2498 0 0 1014 3|14 low Small-Large isolated
## 2499 0 0 1014 3|14 low Small-Large isolated
## 2500 0 0 1014 3|14 low Small-Large isolated
## 2501 0 0 1014 3|14 low Small-Large isolated
## 2502 0 0 1014 3|14 low Small-Large isolated
## 2503 0 0 1014 3|14 low Small-Large isolated
## 2504 0 0 1014 3|14 low Small-Large isolated
## 2505 0 0 1014 3|14 low Small-Large isolated
## 2506 0 0 1014 3|14 low Small-Large isolated
## 2507 0 0 1014 3|14 low Small-Large isolated
## 2508 0 0 1014 3|14 low Small-Large isolated
## 2509 0 0 1014 3|14 low Small-Large isolated
## 2510 0 0 1014 3|14 low Small-Large isolated
## 2511 0 0 1014 3|14 low Small-Large isolated
## 2512 0 0 1014 3|14 low Small-Large isolated
## 2513 0 0 1014 3|14 low Small-Large isolated
## 2514 0 0 1014 3|14 low Small-Large isolated
## 2515 0 0 1014 3|14 low Small-Large isolated
## 2516 0 0 1014 3|14 low Small-Large isolated
## 2517 0 0 1014 3|14 low Small-Large isolated
## 2518 0 0 1014 3|14 low Small-Large isolated
## 2519 0 0 1014 3|14 low Small-Large isolated
## 2520 0 0 1014 3|14 low Small-Large isolated
## 2521 1 4 1014 3|14 low Small-Large isolated
## 2522 1 4 1014 3|14 low Small-Large isolated
## 2523 1 4 1014 3|14 low Small-Large isolated
## 2524 1 4 1014 3|14 low Small-Large isolated
## 2525 1 4 1014 3|14 low Small-Large isolated
## 2526 1 4 1014 3|14 low Small-Large isolated
## 2527 1 4 1014 3|14 low Small-Large isolated
## 2528 1 4 1014 3|14 low Small-Large isolated
## 2529 1 4 1014 3|14 low Small-Large isolated
## 2530 1 4 1014 3|14 low Small-Large isolated
## 2531 1 4 1014 3|14 low Small-Large isolated
## 2532 1 4 1014 3|14 low Small-Large isolated
## 2533 1 4 1014 3|14 low Small-Large isolated
## 2534 1 4 1014 3|14 low Small-Large isolated
## 2535 1 4 1014 3|14 low Small-Large isolated
## 2536 1 4 1014 3|14 low Small-Large isolated
## 2537 1 4 1014 3|14 low Small-Large isolated
## 2538 1 4 1014 3|14 low Small-Large isolated
## 2539 1 4 1014 3|14 low Small-Large isolated
## 2540 1 4 1014 3|14 low Small-Large isolated
## 2541 1 4 1014 3|14 low Small-Large isolated
## 2542 1 4 1014 3|14 low Small-Large isolated
## 2543 1 4 1014 3|14 low Small-Large isolated
## 2544 1 4 1014 3|14 low Small-Large isolated
## 2545 2 8 1014 3|14 low Small-Large isolated
## 2546 2 8 1014 3|14 low Small-Large isolated
## 2547 2 8 1014 3|14 low Small-Large isolated
## 2548 2 8 1014 3|14 low Small-Large isolated
## 2549 2 8 1014 3|14 low Small-Large isolated
## 2550 2 8 1014 3|14 low Small-Large isolated
## 2551 2 8 1014 3|14 low Small-Large isolated
## 2552 2 8 1014 3|14 low Small-Large isolated
## 2553 2 8 1014 3|14 low Small-Large isolated
## 2554 2 8 1014 3|14 low Small-Large isolated
## 2555 2 8 1014 3|14 low Small-Large isolated
## 2556 2 8 1014 3|14 low Small-Large isolated
## 2557 2 8 1014 3|14 low Small-Large isolated
## 2558 2 8 1014 3|14 low Small-Large isolated
## 2559 2 8 1014 3|14 low Small-Large isolated
## 2560 2 8 1014 3|14 low Small-Large isolated
## 2561 2 8 1014 3|14 low Small-Large isolated
## 2562 2 8 1014 3|14 low Small-Large isolated
## 2563 2 8 1014 3|14 low Small-Large isolated
## 2564 2 8 1014 3|14 low Small-Large isolated
## 2565 2 8 1014 3|14 low Small-Large isolated
## 2566 2 8 1014 3|14 low Small-Large isolated
## 2567 2 8 1014 3|14 low Small-Large isolated
## 2568 2 8 1014 3|14 low Small-Large isolated
## 2569 3 12 1014 3|14 low Small-Large isolated
## 2570 3 12 1014 3|14 low Small-Large isolated
## 2571 3 12 1014 3|14 low Small-Large isolated
## 2572 3 12 1014 3|14 low Small-Large isolated
## 2573 3 12 1014 3|14 low Small-Large isolated
## 2574 3 12 1014 3|14 low Small-Large isolated
## 2575 3 12 1014 3|14 low Small-Large isolated
## 2576 3 12 1014 3|14 low Small-Large isolated
## 2577 3 12 1014 3|14 low Small-Large isolated
## 2578 3 12 1014 3|14 low Small-Large isolated
## 2579 3 12 1014 3|14 low Small-Large isolated
## 2580 3 12 1014 3|14 low Small-Large isolated
## 2581 3 12 1014 3|14 low Small-Large isolated
## 2582 3 12 1014 3|14 low Small-Large isolated
## 2583 3 12 1014 3|14 low Small-Large isolated
## 2584 3 12 1014 3|14 low Small-Large isolated
## 2585 3 12 1014 3|14 low Small-Large isolated
## 2586 3 12 1014 3|14 low Small-Large isolated
## 2587 3 12 1014 3|14 low Small-Large isolated
## 2588 3 12 1014 3|14 low Small-Large isolated
## 2589 3 12 1014 3|14 low Small-Large isolated
## 2590 3 12 1014 3|14 low Small-Large isolated
## 2591 3 12 1014 3|14 low Small-Large isolated
## 2592 3 12 1014 3|14 low Small-Large isolated
## 2593 4 16 1014 3|14 low Small-Large isolated
## 2594 4 16 1014 3|14 low Small-Large isolated
## 2595 4 16 1014 3|14 low Small-Large isolated
## 2596 4 16 1014 3|14 low Small-Large isolated
## 2597 4 16 1014 3|14 low Small-Large isolated
## 2598 4 16 1014 3|14 low Small-Large isolated
## 2599 4 16 1014 3|14 low Small-Large isolated
## 2600 4 16 1014 3|14 low Small-Large isolated
## 2601 4 16 1014 3|14 low Small-Large isolated
## 2602 4 16 1014 3|14 low Small-Large isolated
## 2603 4 16 1014 3|14 low Small-Large isolated
## 2604 4 16 1014 3|14 low Small-Large isolated
## 2605 4 16 1014 3|14 low Small-Large isolated
## 2606 4 16 1014 3|14 low Small-Large isolated
## 2607 4 16 1014 3|14 low Small-Large isolated
## 2608 4 16 1014 3|14 low Small-Large isolated
## 2609 4 16 1014 3|14 low Small-Large isolated
## 2610 4 16 1014 3|14 low Small-Large isolated
## 2611 4 16 1014 3|14 low Small-Large isolated
## 2612 4 16 1014 3|14 low Small-Large isolated
## 2613 4 16 1014 3|14 low Small-Large isolated
## 2614 4 16 1014 3|14 low Small-Large isolated
## 2615 4 16 1014 3|14 low Small-Large isolated
## 2616 4 16 1014 3|14 low Small-Large isolated
## 2617 5 20 1014 3|14 low Small-Large isolated
## 2618 5 20 1014 3|14 low Small-Large isolated
## 2619 5 20 1014 3|14 low Small-Large isolated
## 2620 5 20 1014 3|14 low Small-Large isolated
## 2621 5 20 1014 3|14 low Small-Large isolated
## 2622 5 20 1014 3|14 low Small-Large isolated
## 2623 5 20 1014 3|14 low Small-Large isolated
## 2624 5 20 1014 3|14 low Small-Large isolated
## 2625 5 20 1014 3|14 low Small-Large isolated
## 2626 5 20 1014 3|14 low Small-Large isolated
## 2627 5 20 1014 3|14 low Small-Large isolated
## 2628 5 20 1014 3|14 low Small-Large isolated
## 2629 5 20 1014 3|14 low Small-Large isolated
## 2630 5 20 1014 3|14 low Small-Large isolated
## 2631 5 20 1014 3|14 low Small-Large isolated
## mean_shannon mean_richness jaccard_index bray_curtis beta_spatial_turnover
## 1 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 3 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 4 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 5 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 6 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 7 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 8 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 9 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 10 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 11 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 12 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 13 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 14 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 15 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 16 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 17 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 18 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 19 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 20 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 21 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 22 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 23 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 24 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 25 1.5003642 7.5 0.3797327 0.2343643 0.1428571
## 26 1.5003642 7.5 0.3797327 0.2343643 0.1428571
## 27 1.5003642 7.5 0.3797327 0.2343643 0.1428571
## 28 1.5003642 7.5 0.3797327 0.2343643 0.1428571
## 29 1.5003642 7.5 0.3797327 0.2343643 0.1428571
## 30 1.5003642 7.5 0.3797327 0.2343643 0.1428571
## 31 1.5003642 7.5 0.3797327 0.2343643 0.1428571
## 32 1.5003642 7.5 0.3797327 0.2343643 0.1428571
## 33 1.5003642 7.5 0.3797327 0.2343643 0.1428571
## 34 1.5003642 7.5 0.3797327 0.2343643 0.1428571
## 35 1.5003642 7.5 0.3797327 0.2343643 0.1428571
## 36 1.5003642 7.5 0.3797327 0.2343643 0.1428571
## 37 1.5003642 7.5 0.3797327 0.2343643 0.1428571
## 38 1.5003642 7.5 0.3797327 0.2343643 0.1428571
## 39 1.5003642 7.5 0.3797327 0.2343643 0.1428571
## 40 1.5003642 7.5 0.3797327 0.2343643 0.1428571
## 41 1.5003642 7.5 0.3797327 0.2343643 0.1428571
## 42 1.5003642 7.5 0.3797327 0.2343643 0.1428571
## 43 1.5003642 7.5 0.3797327 0.2343643 0.1428571
## 44 1.5003642 7.5 0.3797327 0.2343643 0.1428571
## 45 1.5003642 7.5 0.3797327 0.2343643 0.1428571
## 46 1.5003642 7.5 0.3797327 0.2343643 0.1428571
## 47 1.5003642 7.5 0.3797327 0.2343643 0.1428571
## 48 1.5003642 7.5 0.3797327 0.2343643 0.1428571
## 49 1.5643953 8.0 0.5027346 0.3357686 0.1250000
## 50 1.5643953 8.0 0.5027346 0.3357686 0.1250000
## 51 1.5643953 8.0 0.5027346 0.3357686 0.1250000
## 52 1.5643953 8.0 0.5027346 0.3357686 0.1250000
## 53 1.5643953 8.0 0.5027346 0.3357686 0.1250000
## 54 1.5643953 8.0 0.5027346 0.3357686 0.1250000
## 55 1.5643953 8.0 0.5027346 0.3357686 0.1250000
## 56 1.5643953 8.0 0.5027346 0.3357686 0.1250000
## 57 1.5643953 8.0 0.5027346 0.3357686 0.1250000
## 58 1.5643953 8.0 0.5027346 0.3357686 0.1250000
## 59 1.5643953 8.0 0.5027346 0.3357686 0.1250000
## 60 1.5643953 8.0 0.5027346 0.3357686 0.1250000
## 61 1.5643953 8.0 0.5027346 0.3357686 0.1250000
## 62 1.5643953 8.0 0.5027346 0.3357686 0.1250000
## 63 1.5643953 8.0 0.5027346 0.3357686 0.1250000
## 64 1.5643953 8.0 0.5027346 0.3357686 0.1250000
## 65 1.5643953 8.0 0.5027346 0.3357686 0.1250000
## 66 1.5643953 8.0 0.5027346 0.3357686 0.1250000
## 67 1.5643953 8.0 0.5027346 0.3357686 0.1250000
## 68 1.5643953 8.0 0.5027346 0.3357686 0.1250000
## 69 1.5643953 8.0 0.5027346 0.3357686 0.1250000
## 70 1.5643953 8.0 0.5027346 0.3357686 0.1250000
## 71 1.5643953 8.0 0.5027346 0.3357686 0.1250000
## 72 1.5643953 8.0 0.5027346 0.3357686 0.1250000
## 73 1.6095690 6.0 0.8561835 0.7485323 0.0000000
## 74 1.6095690 6.0 0.8561835 0.7485323 0.0000000
## 75 1.6095690 6.0 0.8561835 0.7485323 0.0000000
## 76 1.6095690 6.0 0.8561835 0.7485323 0.0000000
## 77 1.6095690 6.0 0.8561835 0.7485323 0.0000000
## 78 1.6095690 6.0 0.8561835 0.7485323 0.0000000
## 79 1.6095690 6.0 0.8561835 0.7485323 0.0000000
## 80 1.6095690 6.0 0.8561835 0.7485323 0.0000000
## 81 1.6095690 6.0 0.8561835 0.7485323 0.0000000
## 82 1.6095690 6.0 0.8561835 0.7485323 0.0000000
## 83 1.6095690 6.0 0.8561835 0.7485323 0.0000000
## 84 1.6095690 6.0 0.8561835 0.7485323 0.0000000
## 85 1.6095690 6.0 0.8561835 0.7485323 0.0000000
## 86 1.6095690 6.0 0.8561835 0.7485323 0.0000000
## 87 1.6095690 6.0 0.8561835 0.7485323 0.0000000
## 88 1.6095690 6.0 0.8561835 0.7485323 0.0000000
## 89 1.6095690 6.0 0.8561835 0.7485323 0.0000000
## 90 1.6095690 6.0 0.8561835 0.7485323 0.0000000
## 91 1.6095690 6.0 0.8561835 0.7485323 0.0000000
## 92 1.6095690 6.0 0.8561835 0.7485323 0.0000000
## 93 1.6095690 6.0 0.8561835 0.7485323 0.0000000
## 94 1.6095690 6.0 0.8561835 0.7485323 0.0000000
## 95 1.6095690 6.0 0.8561835 0.7485323 0.0000000
## 96 1.6095690 6.0 0.8561835 0.7485323 0.0000000
## 97 1.8022460 7.5 0.4038401 0.2530073 0.1428571
## 98 1.8022460 7.5 0.4038401 0.2530073 0.1428571
## 99 1.8022460 7.5 0.4038401 0.2530073 0.1428571
## 100 1.8022460 7.5 0.4038401 0.2530073 0.1428571
## 101 1.8022460 7.5 0.4038401 0.2530073 0.1428571
## 102 1.8022460 7.5 0.4038401 0.2530073 0.1428571
## 103 1.8022460 7.5 0.4038401 0.2530073 0.1428571
## 104 1.8022460 7.5 0.4038401 0.2530073 0.1428571
## 105 1.8022460 7.5 0.4038401 0.2530073 0.1428571
## 106 1.8022460 7.5 0.4038401 0.2530073 0.1428571
## 107 1.8022460 7.5 0.4038401 0.2530073 0.1428571
## 108 1.8022460 7.5 0.4038401 0.2530073 0.1428571
## 109 1.8022460 7.5 0.4038401 0.2530073 0.1428571
## 110 1.8022460 7.5 0.4038401 0.2530073 0.1428571
## 111 1.8022460 7.5 0.4038401 0.2530073 0.1428571
## 112 1.8022460 7.5 0.4038401 0.2530073 0.1428571
## 113 1.8022460 7.5 0.4038401 0.2530073 0.1428571
## 114 1.8022460 7.5 0.4038401 0.2530073 0.1428571
## 115 1.8022460 7.5 0.4038401 0.2530073 0.1428571
## 116 1.8022460 7.5 0.4038401 0.2530073 0.1428571
## 117 1.8022460 7.5 0.4038401 0.2530073 0.1428571
## 118 1.8022460 7.5 0.4038401 0.2530073 0.1428571
## 119 1.8022460 7.5 0.4038401 0.2530073 0.1428571
## 120 1.8022460 7.5 0.4038401 0.2530073 0.1428571
## 121 0.9046531 4.0 0.8022244 0.6697618 0.0000000
## 122 0.9046531 4.0 0.8022244 0.6697618 0.0000000
## 123 0.9046531 4.0 0.8022244 0.6697618 0.0000000
## 124 0.9046531 4.0 0.8022244 0.6697618 0.0000000
## 125 0.9046531 4.0 0.8022244 0.6697618 0.0000000
## 126 0.9046531 4.0 0.8022244 0.6697618 0.0000000
## 127 0.9046531 4.0 0.8022244 0.6697618 0.0000000
## 128 0.9046531 4.0 0.8022244 0.6697618 0.0000000
## 129 0.9046531 4.0 0.8022244 0.6697618 0.0000000
## 130 0.9046531 4.0 0.8022244 0.6697618 0.0000000
## 131 0.9046531 4.0 0.8022244 0.6697618 0.0000000
## 132 0.9046531 4.0 0.8022244 0.6697618 0.0000000
## 133 0.9046531 4.0 0.8022244 0.6697618 0.0000000
## 134 0.9046531 4.0 0.8022244 0.6697618 0.0000000
## 135 0.9046531 4.0 0.8022244 0.6697618 0.0000000
## 136 0.9046531 4.0 0.8022244 0.6697618 0.0000000
## 137 0.9046531 4.0 0.8022244 0.6697618 0.0000000
## 138 0.9046531 4.0 0.8022244 0.6697618 0.0000000
## 139 0.9046531 4.0 0.8022244 0.6697618 0.0000000
## 140 0.9046531 4.0 0.8022244 0.6697618 0.0000000
## 141 0.9046531 4.0 0.8022244 0.6697618 0.0000000
## 142 0.9046531 4.0 0.8022244 0.6697618 0.0000000
## 143 0.9046531 4.0 0.8022244 0.6697618 0.0000000
## 144 0.9046531 4.0 0.8022244 0.6697618 0.0000000
## 145 1.1722772 6.0 0.8009542 0.6679930 0.4000000
## 146 1.1722772 6.0 0.8009542 0.6679930 0.4000000
## 147 1.1722772 6.0 0.8009542 0.6679930 0.4000000
## 148 1.1722772 6.0 0.8009542 0.6679930 0.4000000
## 149 1.1722772 6.0 0.8009542 0.6679930 0.4000000
## 150 1.1722772 6.0 0.8009542 0.6679930 0.4000000
## 151 1.1722772 6.0 0.8009542 0.6679930 0.4000000
## 152 1.1722772 6.0 0.8009542 0.6679930 0.4000000
## 153 1.1722772 6.0 0.8009542 0.6679930 0.4000000
## 154 1.1722772 6.0 0.8009542 0.6679930 0.4000000
## 155 1.1722772 6.0 0.8009542 0.6679930 0.4000000
## 156 1.1722772 6.0 0.8009542 0.6679930 0.4000000
## 157 1.1722772 6.0 0.8009542 0.6679930 0.4000000
## 158 1.1722772 6.0 0.8009542 0.6679930 0.4000000
## 159 1.1722772 6.0 0.8009542 0.6679930 0.4000000
## 160 1.1722772 6.0 0.8009542 0.6679930 0.4000000
## 161 1.1722772 6.0 0.8009542 0.6679930 0.4000000
## 162 1.1722772 6.0 0.8009542 0.6679930 0.4000000
## 163 1.1722772 6.0 0.8009542 0.6679930 0.4000000
## 164 1.1722772 6.0 0.8009542 0.6679930 0.4000000
## 165 1.1722772 6.0 0.8009542 0.6679930 0.4000000
## 166 1.1722772 6.0 0.8009542 0.6679930 0.4000000
## 167 1.1722772 6.0 0.8009542 0.6679930 0.4000000
## 168 1.1722772 6.0 0.8009542 0.6679930 0.4000000
## 169 0.9415572 5.5 0.9159832 0.8449899 0.0000000
## 170 0.9415572 5.5 0.9159832 0.8449899 0.0000000
## 171 0.9415572 5.5 0.9159832 0.8449899 0.0000000
## 172 0.9415572 5.5 0.9159832 0.8449899 0.0000000
## 173 0.9415572 5.5 0.9159832 0.8449899 0.0000000
## 174 0.9415572 5.5 0.9159832 0.8449899 0.0000000
## 175 0.9415572 5.5 0.9159832 0.8449899 0.0000000
## 176 0.9415572 5.5 0.9159832 0.8449899 0.0000000
## 177 0.9415572 5.5 0.9159832 0.8449899 0.0000000
## 178 0.9415572 5.5 0.9159832 0.8449899 0.0000000
## 179 0.9415572 5.5 0.9159832 0.8449899 0.0000000
## 180 0.9415572 5.5 0.9159832 0.8449899 0.0000000
## 181 0.9415572 5.5 0.9159832 0.8449899 0.0000000
## 182 0.9415572 5.5 0.9159832 0.8449899 0.0000000
## 183 0.9415572 5.5 0.9159832 0.8449899 0.0000000
## 184 0.9415572 5.5 0.9159832 0.8449899 0.0000000
## 185 0.9415572 5.5 0.9159832 0.8449899 0.0000000
## 186 0.9415572 5.5 0.9159832 0.8449899 0.0000000
## 187 0.9415572 5.5 0.9159832 0.8449899 0.0000000
## 188 0.9415572 5.5 0.9159832 0.8449899 0.0000000
## 189 0.9415572 5.5 0.9159832 0.8449899 0.0000000
## 190 0.9415572 5.5 0.9159832 0.8449899 0.0000000
## 191 0.9415572 5.5 0.9159832 0.8449899 0.0000000
## 192 0.9415572 5.5 0.9159832 0.8449899 0.0000000
## 193 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 194 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 195 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 196 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 197 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 198 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 199 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 200 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 201 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 202 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 203 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 204 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 205 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 206 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 207 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 208 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 209 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 210 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 211 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 212 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 213 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 214 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 215 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 216 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 217 1.7344675 8.0 0.5863882 0.4148156 0.0000000
## 218 1.7344675 8.0 0.5863882 0.4148156 0.0000000
## 219 1.7344675 8.0 0.5863882 0.4148156 0.0000000
## 220 1.7344675 8.0 0.5863882 0.4148156 0.0000000
## 221 1.7344675 8.0 0.5863882 0.4148156 0.0000000
## 222 1.7344675 8.0 0.5863882 0.4148156 0.0000000
## 223 1.7344675 8.0 0.5863882 0.4148156 0.0000000
## 224 1.7344675 8.0 0.5863882 0.4148156 0.0000000
## 225 1.7344675 8.0 0.5863882 0.4148156 0.0000000
## 226 1.7344675 8.0 0.5863882 0.4148156 0.0000000
## 227 1.7344675 8.0 0.5863882 0.4148156 0.0000000
## 228 1.7344675 8.0 0.5863882 0.4148156 0.0000000
## 229 1.7344675 8.0 0.5863882 0.4148156 0.0000000
## 230 1.7344675 8.0 0.5863882 0.4148156 0.0000000
## 231 1.7344675 8.0 0.5863882 0.4148156 0.0000000
## 232 1.7344675 8.0 0.5863882 0.4148156 0.0000000
## 233 1.7344675 8.0 0.5863882 0.4148156 0.0000000
## 234 1.7344675 8.0 0.5863882 0.4148156 0.0000000
## 235 1.7344675 8.0 0.5863882 0.4148156 0.0000000
## 236 1.7344675 8.0 0.5863882 0.4148156 0.0000000
## 237 1.7344675 8.0 0.5863882 0.4148156 0.0000000
## 238 1.7344675 8.0 0.5863882 0.4148156 0.0000000
## 239 1.7344675 8.0 0.5863882 0.4148156 0.0000000
## 240 1.7344675 8.0 0.5863882 0.4148156 0.0000000
## 241 1.4913521 6.5 0.4020438 0.2515988 0.0000000
## 242 1.4913521 6.5 0.4020438 0.2515988 0.0000000
## 243 1.4913521 6.5 0.4020438 0.2515988 0.0000000
## 244 1.4913521 6.5 0.4020438 0.2515988 0.0000000
## 245 1.4913521 6.5 0.4020438 0.2515988 0.0000000
## 246 1.4913521 6.5 0.4020438 0.2515988 0.0000000
## 247 1.4913521 6.5 0.4020438 0.2515988 0.0000000
## 248 1.4913521 6.5 0.4020438 0.2515988 0.0000000
## 249 1.4913521 6.5 0.4020438 0.2515988 0.0000000
## 250 1.4913521 6.5 0.4020438 0.2515988 0.0000000
## 251 1.4913521 6.5 0.4020438 0.2515988 0.0000000
## 252 1.4913521 6.5 0.4020438 0.2515988 0.0000000
## 253 1.4913521 6.5 0.4020438 0.2515988 0.0000000
## 254 1.4913521 6.5 0.4020438 0.2515988 0.0000000
## 255 1.4913521 6.5 0.4020438 0.2515988 0.0000000
## 256 1.4913521 6.5 0.4020438 0.2515988 0.0000000
## 257 1.4913521 6.5 0.4020438 0.2515988 0.0000000
## 258 1.4913521 6.5 0.4020438 0.2515988 0.0000000
## 259 1.4913521 6.5 0.4020438 0.2515988 0.0000000
## 260 1.4913521 6.5 0.4020438 0.2515988 0.0000000
## 261 1.4913521 6.5 0.4020438 0.2515988 0.0000000
## 262 1.4913521 6.5 0.4020438 0.2515988 0.0000000
## 263 1.4913521 6.5 0.4020438 0.2515988 0.0000000
## 264 1.4913521 6.5 0.4020438 0.2515988 0.0000000
## 265 1.5288340 6.0 0.9015342 0.8207213 0.2500000
## 266 1.5288340 6.0 0.9015342 0.8207213 0.2500000
## 267 1.5288340 6.0 0.9015342 0.8207213 0.2500000
## 268 1.5288340 6.0 0.9015342 0.8207213 0.2500000
## 269 1.5288340 6.0 0.9015342 0.8207213 0.2500000
## 270 1.5288340 6.0 0.9015342 0.8207213 0.2500000
## 271 1.5288340 6.0 0.9015342 0.8207213 0.2500000
## 272 1.5288340 6.0 0.9015342 0.8207213 0.2500000
## 273 1.5288340 6.0 0.9015342 0.8207213 0.2500000
## 274 1.5288340 6.0 0.9015342 0.8207213 0.2500000
## 275 1.5288340 6.0 0.9015342 0.8207213 0.2500000
## 276 1.5288340 6.0 0.9015342 0.8207213 0.2500000
## 277 1.5288340 6.0 0.9015342 0.8207213 0.2500000
## 278 1.5288340 6.0 0.9015342 0.8207213 0.2500000
## 279 1.5288340 6.0 0.9015342 0.8207213 0.2500000
## 280 1.5288340 6.0 0.9015342 0.8207213 0.2500000
## 281 1.5288340 6.0 0.9015342 0.8207213 0.2500000
## 282 1.5288340 6.0 0.9015342 0.8207213 0.2500000
## 283 1.5288340 6.0 0.9015342 0.8207213 0.2500000
## 284 1.5288340 6.0 0.9015342 0.8207213 0.2500000
## 285 1.5288340 6.0 0.9015342 0.8207213 0.2500000
## 286 1.5288340 6.0 0.9015342 0.8207213 0.2500000
## 287 1.5288340 6.0 0.9015342 0.8207213 0.2500000
## 288 1.5288340 6.0 0.9015342 0.8207213 0.2500000
## 289 1.5754616 6.0 0.5594016 0.3883120 0.2000000
## 290 1.5754616 6.0 0.5594016 0.3883120 0.2000000
## 291 1.5754616 6.0 0.5594016 0.3883120 0.2000000
## 292 1.5754616 6.0 0.5594016 0.3883120 0.2000000
## 293 1.5754616 6.0 0.5594016 0.3883120 0.2000000
## 294 1.5754616 6.0 0.5594016 0.3883120 0.2000000
## 295 1.5754616 6.0 0.5594016 0.3883120 0.2000000
## 296 1.5754616 6.0 0.5594016 0.3883120 0.2000000
## 297 1.5754616 6.0 0.5594016 0.3883120 0.2000000
## 298 1.5754616 6.0 0.5594016 0.3883120 0.2000000
## 299 1.5754616 6.0 0.5594016 0.3883120 0.2000000
## 300 1.5754616 6.0 0.5594016 0.3883120 0.2000000
## 301 1.5754616 6.0 0.5594016 0.3883120 0.2000000
## 302 1.5754616 6.0 0.5594016 0.3883120 0.2000000
## 303 1.5754616 6.0 0.5594016 0.3883120 0.2000000
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## 932 1.5071598 6.5 0.8093303 0.6797269 0.2000000
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## 934 1.5071598 6.5 0.8093303 0.6797269 0.2000000
## 935 1.5071598 6.5 0.8093303 0.6797269 0.2000000
## 936 1.5071598 6.5 0.8093303 0.6797269 0.2000000
## 937 0.9391687 5.0 0.9203269 0.8524125 0.0000000
## 938 0.9391687 5.0 0.9203269 0.8524125 0.0000000
## 939 0.9391687 5.0 0.9203269 0.8524125 0.0000000
## 940 0.9391687 5.0 0.9203269 0.8524125 0.0000000
## 941 0.9391687 5.0 0.9203269 0.8524125 0.0000000
## 942 0.9391687 5.0 0.9203269 0.8524125 0.0000000
## 943 0.9391687 5.0 0.9203269 0.8524125 0.0000000
## 944 0.9391687 5.0 0.9203269 0.8524125 0.0000000
## 945 0.9391687 5.0 0.9203269 0.8524125 0.0000000
## 946 0.9391687 5.0 0.9203269 0.8524125 0.0000000
## 947 0.9391687 5.0 0.9203269 0.8524125 0.0000000
## 948 0.9391687 5.0 0.9203269 0.8524125 0.0000000
## 949 0.9391687 5.0 0.9203269 0.8524125 0.0000000
## 950 0.9391687 5.0 0.9203269 0.8524125 0.0000000
## 951 0.9391687 5.0 0.9203269 0.8524125 0.0000000
## 952 0.9391687 5.0 0.9203269 0.8524125 0.0000000
## 953 0.9391687 5.0 0.9203269 0.8524125 0.0000000
## 954 0.9391687 5.0 0.9203269 0.8524125 0.0000000
## 955 0.9391687 5.0 0.9203269 0.8524125 0.0000000
## 956 0.9391687 5.0 0.9203269 0.8524125 0.0000000
## 957 0.9391687 5.0 0.9203269 0.8524125 0.0000000
## 958 0.9391687 5.0 0.9203269 0.8524125 0.0000000
## 959 0.9391687 5.0 0.9203269 0.8524125 0.0000000
## 960 0.9391687 5.0 0.9203269 0.8524125 0.0000000
## 961 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 962 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 963 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 964 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 965 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 966 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 967 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 968 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 969 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 970 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 971 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 972 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 973 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 974 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 975 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 976 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 977 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 978 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 979 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 980 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 981 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 982 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 983 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 984 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 985 1.5540186 8.0 0.4775502 0.3136722 0.2500000
## 986 1.5540186 8.0 0.4775502 0.3136722 0.2500000
## 987 1.5540186 8.0 0.4775502 0.3136722 0.2500000
## 988 1.5540186 8.0 0.4775502 0.3136722 0.2500000
## 989 1.5540186 8.0 0.4775502 0.3136722 0.2500000
## 990 1.5540186 8.0 0.4775502 0.3136722 0.2500000
## 991 1.5540186 8.0 0.4775502 0.3136722 0.2500000
## 992 1.5540186 8.0 0.4775502 0.3136722 0.2500000
## 993 1.5540186 8.0 0.4775502 0.3136722 0.2500000
## 994 1.5540186 8.0 0.4775502 0.3136722 0.2500000
## 995 1.5540186 8.0 0.4775502 0.3136722 0.2500000
## 996 1.5540186 8.0 0.4775502 0.3136722 0.2500000
## 997 1.5540186 8.0 0.4775502 0.3136722 0.2500000
## 998 1.5540186 8.0 0.4775502 0.3136722 0.2500000
## 999 1.5540186 8.0 0.4775502 0.3136722 0.2500000
## 1000 1.5540186 8.0 0.4775502 0.3136722 0.2500000
## 1001 1.5540186 8.0 0.4775502 0.3136722 0.2500000
## 1002 1.5540186 8.0 0.4775502 0.3136722 0.2500000
## 1003 1.5540186 8.0 0.4775502 0.3136722 0.2500000
## 1004 1.5540186 8.0 0.4775502 0.3136722 0.2500000
## 1005 1.5540186 8.0 0.4775502 0.3136722 0.2500000
## 1006 1.5540186 8.0 0.4775502 0.3136722 0.2500000
## 1007 1.5540186 8.0 0.4775502 0.3136722 0.2500000
## 1008 1.5540186 8.0 0.4775502 0.3136722 0.2500000
## 1009 1.5213817 8.5 0.6802785 0.5154712 0.1250000
## 1010 1.5213817 8.5 0.6802785 0.5154712 0.1250000
## 1011 1.5213817 8.5 0.6802785 0.5154712 0.1250000
## 1012 1.5213817 8.5 0.6802785 0.5154712 0.1250000
## 1013 1.5213817 8.5 0.6802785 0.5154712 0.1250000
## 1014 1.5213817 8.5 0.6802785 0.5154712 0.1250000
## 1015 1.5213817 8.5 0.6802785 0.5154712 0.1250000
## 1016 1.5213817 8.5 0.6802785 0.5154712 0.1250000
## 1017 1.5213817 8.5 0.6802785 0.5154712 0.1250000
## 1018 1.5213817 8.5 0.6802785 0.5154712 0.1250000
## 1019 1.5213817 8.5 0.6802785 0.5154712 0.1250000
## 1020 1.5213817 8.5 0.6802785 0.5154712 0.1250000
## 1021 1.5213817 8.5 0.6802785 0.5154712 0.1250000
## 1022 1.5213817 8.5 0.6802785 0.5154712 0.1250000
## 1023 1.5213817 8.5 0.6802785 0.5154712 0.1250000
## 1024 1.5213817 8.5 0.6802785 0.5154712 0.1250000
## 1025 1.5213817 8.5 0.6802785 0.5154712 0.1250000
## 1026 1.5213817 8.5 0.6802785 0.5154712 0.1250000
## 1027 1.5213817 8.5 0.6802785 0.5154712 0.1250000
## 1028 1.5213817 8.5 0.6802785 0.5154712 0.1250000
## 1029 1.5213817 8.5 0.6802785 0.5154712 0.1250000
## 1030 1.5213817 8.5 0.6802785 0.5154712 0.1250000
## 1031 1.5213817 8.5 0.6802785 0.5154712 0.1250000
## 1032 1.5213817 8.5 0.6802785 0.5154712 0.1250000
## 1033 1.7632593 7.0 0.4519279 0.2919295 0.0000000
## 1034 1.7632593 7.0 0.4519279 0.2919295 0.0000000
## 1035 1.7632593 7.0 0.4519279 0.2919295 0.0000000
## 1036 1.7632593 7.0 0.4519279 0.2919295 0.0000000
## 1037 1.7632593 7.0 0.4519279 0.2919295 0.0000000
## 1038 1.7632593 7.0 0.4519279 0.2919295 0.0000000
## 1039 1.7632593 7.0 0.4519279 0.2919295 0.0000000
## 1040 1.7632593 7.0 0.4519279 0.2919295 0.0000000
## 1041 1.7632593 7.0 0.4519279 0.2919295 0.0000000
## 1042 1.7632593 7.0 0.4519279 0.2919295 0.0000000
## 1043 1.7632593 7.0 0.4519279 0.2919295 0.0000000
## 1044 1.7632593 7.0 0.4519279 0.2919295 0.0000000
## 1045 1.7632593 7.0 0.4519279 0.2919295 0.0000000
## 1046 1.7632593 7.0 0.4519279 0.2919295 0.0000000
## 1047 1.7632593 7.0 0.4519279 0.2919295 0.0000000
## 1048 1.7632593 7.0 0.4519279 0.2919295 0.0000000
## 1049 1.7632593 7.0 0.4519279 0.2919295 0.0000000
## 1050 1.7632593 7.0 0.4519279 0.2919295 0.0000000
## 1051 1.7632593 7.0 0.4519279 0.2919295 0.0000000
## 1052 1.7632593 7.0 0.4519279 0.2919295 0.0000000
## 1053 1.7632593 7.0 0.4519279 0.2919295 0.0000000
## 1054 1.7632593 7.0 0.4519279 0.2919295 0.0000000
## 1055 1.7632593 7.0 0.4519279 0.2919295 0.0000000
## 1056 1.7632593 7.0 0.4519279 0.2919295 0.0000000
## 1057 1.3837136 5.5 0.6129142 0.4418719 0.0000000
## 1058 1.3837136 5.5 0.6129142 0.4418719 0.0000000
## 1059 1.3837136 5.5 0.6129142 0.4418719 0.0000000
## 1060 1.3837136 5.5 0.6129142 0.4418719 0.0000000
## 1061 1.3837136 5.5 0.6129142 0.4418719 0.0000000
## 1062 1.3837136 5.5 0.6129142 0.4418719 0.0000000
## 1063 1.3837136 5.5 0.6129142 0.4418719 0.0000000
## 1064 1.3837136 5.5 0.6129142 0.4418719 0.0000000
## 1065 1.3837136 5.5 0.6129142 0.4418719 0.0000000
## 1066 1.3837136 5.5 0.6129142 0.4418719 0.0000000
## 1067 1.3837136 5.5 0.6129142 0.4418719 0.0000000
## 1068 1.3837136 5.5 0.6129142 0.4418719 0.0000000
## 1069 1.3837136 5.5 0.6129142 0.4418719 0.0000000
## 1070 1.3837136 5.5 0.6129142 0.4418719 0.0000000
## 1071 1.3837136 5.5 0.6129142 0.4418719 0.0000000
## 1072 1.3837136 5.5 0.6129142 0.4418719 0.0000000
## 1073 1.3837136 5.5 0.6129142 0.4418719 0.0000000
## 1074 1.3837136 5.5 0.6129142 0.4418719 0.0000000
## 1075 1.3837136 5.5 0.6129142 0.4418719 0.0000000
## 1076 1.3837136 5.5 0.6129142 0.4418719 0.0000000
## 1077 1.3837136 5.5 0.6129142 0.4418719 0.0000000
## 1078 1.3837136 5.5 0.6129142 0.4418719 0.0000000
## 1079 1.3837136 5.5 0.6129142 0.4418719 0.0000000
## 1080 1.3837136 5.5 0.6129142 0.4418719 0.0000000
## 1081 1.1906786 4.5 0.9314463 0.8716887 0.3333333
## 1082 1.1906786 4.5 0.9314463 0.8716887 0.3333333
## 1083 1.1906786 4.5 0.9314463 0.8716887 0.3333333
## 1084 1.1906786 4.5 0.9314463 0.8716887 0.3333333
## 1085 1.1906786 4.5 0.9314463 0.8716887 0.3333333
## 1086 1.1906786 4.5 0.9314463 0.8716887 0.3333333
## 1087 1.1906786 4.5 0.9314463 0.8716887 0.3333333
## 1088 1.1906786 4.5 0.9314463 0.8716887 0.3333333
## 1089 1.1906786 4.5 0.9314463 0.8716887 0.3333333
## 1090 1.1906786 4.5 0.9314463 0.8716887 0.3333333
## 1091 1.1906786 4.5 0.9314463 0.8716887 0.3333333
## 1092 1.1906786 4.5 0.9314463 0.8716887 0.3333333
## 1093 1.1906786 4.5 0.9314463 0.8716887 0.3333333
## 1094 1.1906786 4.5 0.9314463 0.8716887 0.3333333
## 1095 1.1906786 4.5 0.9314463 0.8716887 0.3333333
## 1096 1.1906786 4.5 0.9314463 0.8716887 0.3333333
## 1097 1.1906786 4.5 0.9314463 0.8716887 0.3333333
## 1098 1.1906786 4.5 0.9314463 0.8716887 0.3333333
## 1099 1.1906786 4.5 0.9314463 0.8716887 0.3333333
## 1100 1.1906786 4.5 0.9314463 0.8716887 0.3333333
## 1101 1.1906786 4.5 0.9314463 0.8716887 0.3333333
## 1102 1.1906786 4.5 0.9314463 0.8716887 0.3333333
## 1103 1.1906786 4.5 0.9314463 0.8716887 0.3333333
## 1104 1.1906786 4.5 0.9314463 0.8716887 0.3333333
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## 1107 0.5580146 4.0 0.8940736 0.8084387 0.0000000
## 1108 0.5580146 4.0 0.8940736 0.8084387 0.0000000
## 1109 0.5580146 4.0 0.8940736 0.8084387 0.0000000
## 1110 0.5580146 4.0 0.8940736 0.8084387 0.0000000
## 1111 0.5580146 4.0 0.8940736 0.8084387 0.0000000
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## 1113 0.5580146 4.0 0.8940736 0.8084387 0.0000000
## 1114 0.5580146 4.0 0.8940736 0.8084387 0.0000000
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## 1116 0.5580146 4.0 0.8940736 0.8084387 0.0000000
## 1117 0.5580146 4.0 0.8940736 0.8084387 0.0000000
## 1118 0.5580146 4.0 0.8940736 0.8084387 0.0000000
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## 1120 0.5580146 4.0 0.8940736 0.8084387 0.0000000
## 1121 0.5580146 4.0 0.8940736 0.8084387 0.0000000
## 1122 0.5580146 4.0 0.8940736 0.8084387 0.0000000
## 1123 0.5580146 4.0 0.8940736 0.8084387 0.0000000
## 1124 0.5580146 4.0 0.8940736 0.8084387 0.0000000
## 1125 0.5580146 4.0 0.8940736 0.8084387 0.0000000
## 1126 0.5580146 4.0 0.8940736 0.8084387 0.0000000
## 1127 0.5580146 4.0 0.8940736 0.8084387 0.0000000
## 1128 0.5580146 4.0 0.8940736 0.8084387 0.0000000
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## 1131 0.6573424 5.0 0.9461440 0.8977925 0.0000000
## 1132 0.6573424 5.0 0.9461440 0.8977925 0.0000000
## 1133 0.6573424 5.0 0.9461440 0.8977925 0.0000000
## 1134 0.6573424 5.0 0.9461440 0.8977925 0.0000000
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## 1136 0.6573424 5.0 0.9461440 0.8977925 0.0000000
## 1137 0.6573424 5.0 0.9461440 0.8977925 0.0000000
## 1138 0.6573424 5.0 0.9461440 0.8977925 0.0000000
## 1139 0.6573424 5.0 0.9461440 0.8977925 0.0000000
## 1140 0.6573424 5.0 0.9461440 0.8977925 0.0000000
## 1141 0.6573424 5.0 0.9461440 0.8977925 0.0000000
## 1142 0.6573424 5.0 0.9461440 0.8977925 0.0000000
## 1143 0.6573424 5.0 0.9461440 0.8977925 0.0000000
## 1144 0.6573424 5.0 0.9461440 0.8977925 0.0000000
## 1145 0.6573424 5.0 0.9461440 0.8977925 0.0000000
## 1146 0.6573424 5.0 0.9461440 0.8977925 0.0000000
## 1147 0.6573424 5.0 0.9461440 0.8977925 0.0000000
## 1148 0.6573424 5.0 0.9461440 0.8977925 0.0000000
## 1149 0.6573424 5.0 0.9461440 0.8977925 0.0000000
## 1150 0.6573424 5.0 0.9461440 0.8977925 0.0000000
## 1151 0.6573424 5.0 0.9461440 0.8977925 0.0000000
## 1152 0.6573424 5.0 0.9461440 0.8977925 0.0000000
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## 1154 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1155 2.0784670 11.0 0.0000000 0.0000000 0.0000000
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## 1158 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1159 2.0784670 11.0 0.0000000 0.0000000 0.0000000
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## 1161 2.0784670 11.0 0.0000000 0.0000000 0.0000000
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## 1164 2.0784670 11.0 0.0000000 0.0000000 0.0000000
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## 1167 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1168 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1169 2.0784670 11.0 0.0000000 0.0000000 0.0000000
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## 1171 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1172 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1173 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1174 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1175 2.0784670 11.0 0.0000000 0.0000000 0.0000000
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## 1178 1.7881218 8.5 0.4851643 0.3202752 0.1250000
## 1179 1.7881218 8.5 0.4851643 0.3202752 0.1250000
## 1180 1.7881218 8.5 0.4851643 0.3202752 0.1250000
## 1181 1.7881218 8.5 0.4851643 0.3202752 0.1250000
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## 1183 1.7881218 8.5 0.4851643 0.3202752 0.1250000
## 1184 1.7881218 8.5 0.4851643 0.3202752 0.1250000
## 1185 1.7881218 8.5 0.4851643 0.3202752 0.1250000
## 1186 1.7881218 8.5 0.4851643 0.3202752 0.1250000
## 1187 1.7881218 8.5 0.4851643 0.3202752 0.1250000
## 1188 1.7881218 8.5 0.4851643 0.3202752 0.1250000
## 1189 1.7881218 8.5 0.4851643 0.3202752 0.1250000
## 1190 1.7881218 8.5 0.4851643 0.3202752 0.1250000
## 1191 1.7881218 8.5 0.4851643 0.3202752 0.1250000
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## 1194 1.7881218 8.5 0.4851643 0.3202752 0.1250000
## 1195 1.7881218 8.5 0.4851643 0.3202752 0.1250000
## 1196 1.7881218 8.5 0.4851643 0.3202752 0.1250000
## 1197 1.7881218 8.5 0.4851643 0.3202752 0.1250000
## 1198 1.7881218 8.5 0.4851643 0.3202752 0.1250000
## 1199 1.7881218 8.5 0.4851643 0.3202752 0.1250000
## 1200 1.7881218 8.5 0.4851643 0.3202752 0.1250000
## 1201 1.4483385 7.0 0.6127187 0.4416686 0.0000000
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## 1206 1.4483385 7.0 0.6127187 0.4416686 0.0000000
## 1207 1.4483385 7.0 0.6127187 0.4416686 0.0000000
## 1208 1.4483385 7.0 0.6127187 0.4416686 0.0000000
## 1209 1.4483385 7.0 0.6127187 0.4416686 0.0000000
## 1210 1.4483385 7.0 0.6127187 0.4416686 0.0000000
## 1211 1.4483385 7.0 0.6127187 0.4416686 0.0000000
## 1212 1.4483385 7.0 0.6127187 0.4416686 0.0000000
## 1213 1.4483385 7.0 0.6127187 0.4416686 0.0000000
## 1214 1.4483385 7.0 0.6127187 0.4416686 0.0000000
## 1215 1.4483385 7.0 0.6127187 0.4416686 0.0000000
## 1216 1.4483385 7.0 0.6127187 0.4416686 0.0000000
## 1217 1.4483385 7.0 0.6127187 0.4416686 0.0000000
## 1218 1.4483385 7.0 0.6127187 0.4416686 0.0000000
## 1219 1.4483385 7.0 0.6127187 0.4416686 0.0000000
## 1220 1.4483385 7.0 0.6127187 0.4416686 0.0000000
## 1221 1.4483385 7.0 0.6127187 0.4416686 0.0000000
## 1222 1.4483385 7.0 0.6127187 0.4416686 0.0000000
## 1223 1.4483385 7.0 0.6127187 0.4416686 0.0000000
## 1224 1.4483385 7.0 0.6127187 0.4416686 0.0000000
## 1225 1.6825243 7.0 0.5191233 0.3505514 0.1666667
## 1226 1.6825243 7.0 0.5191233 0.3505514 0.1666667
## 1227 1.6825243 7.0 0.5191233 0.3505514 0.1666667
## 1228 1.6825243 7.0 0.5191233 0.3505514 0.1666667
## 1229 1.6825243 7.0 0.5191233 0.3505514 0.1666667
## 1230 1.6825243 7.0 0.5191233 0.3505514 0.1666667
## 1231 1.6825243 7.0 0.5191233 0.3505514 0.1666667
## 1232 1.6825243 7.0 0.5191233 0.3505514 0.1666667
## 1233 1.6825243 7.0 0.5191233 0.3505514 0.1666667
## 1234 1.6825243 7.0 0.5191233 0.3505514 0.1666667
## 1235 1.6825243 7.0 0.5191233 0.3505514 0.1666667
## 1236 1.6825243 7.0 0.5191233 0.3505514 0.1666667
## 1237 1.6825243 7.0 0.5191233 0.3505514 0.1666667
## 1238 1.6825243 7.0 0.5191233 0.3505514 0.1666667
## 1239 1.6825243 7.0 0.5191233 0.3505514 0.1666667
## 1240 1.6825243 7.0 0.5191233 0.3505514 0.1666667
## 1241 1.6825243 7.0 0.5191233 0.3505514 0.1666667
## 1242 1.6825243 7.0 0.5191233 0.3505514 0.1666667
## 1243 1.6825243 7.0 0.5191233 0.3505514 0.1666667
## 1244 1.6825243 7.0 0.5191233 0.3505514 0.1666667
## 1245 1.6825243 7.0 0.5191233 0.3505514 0.1666667
## 1246 1.6825243 7.0 0.5191233 0.3505514 0.1666667
## 1247 1.6825243 7.0 0.5191233 0.3505514 0.1666667
## 1248 1.6825243 7.0 0.5191233 0.3505514 0.1666667
## 1249 1.1569293 4.0 0.7495992 0.5994872 0.3333333
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## 1251 1.1569293 4.0 0.7495992 0.5994872 0.3333333
## 1252 1.1569293 4.0 0.7495992 0.5994872 0.3333333
## 1253 1.1569293 4.0 0.7495992 0.5994872 0.3333333
## 1254 1.1569293 4.0 0.7495992 0.5994872 0.3333333
## 1255 1.1569293 4.0 0.7495992 0.5994872 0.3333333
## 1256 1.1569293 4.0 0.7495992 0.5994872 0.3333333
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## 1258 1.1569293 4.0 0.7495992 0.5994872 0.3333333
## 1259 1.1569293 4.0 0.7495992 0.5994872 0.3333333
## 1260 1.1569293 4.0 0.7495992 0.5994872 0.3333333
## 1261 1.1569293 4.0 0.7495992 0.5994872 0.3333333
## 1262 1.1569293 4.0 0.7495992 0.5994872 0.3333333
## 1263 1.1569293 4.0 0.7495992 0.5994872 0.3333333
## 1264 1.1569293 4.0 0.7495992 0.5994872 0.3333333
## 1265 1.1569293 4.0 0.7495992 0.5994872 0.3333333
## 1266 1.1569293 4.0 0.7495992 0.5994872 0.3333333
## 1267 1.1569293 4.0 0.7495992 0.5994872 0.3333333
## 1268 1.1569293 4.0 0.7495992 0.5994872 0.3333333
## 1269 1.1569293 4.0 0.7495992 0.5994872 0.3333333
## 1270 1.1569293 4.0 0.7495992 0.5994872 0.3333333
## 1271 1.1569293 4.0 0.7495992 0.5994872 0.3333333
## 1272 1.1569293 4.0 0.7495992 0.5994872 0.3333333
## 1273 1.4007946 5.5 0.8509009 0.7404939 0.0000000
## 1274 1.4007946 5.5 0.8509009 0.7404939 0.0000000
## 1275 1.4007946 5.5 0.8509009 0.7404939 0.0000000
## 1276 1.4007946 5.5 0.8509009 0.7404939 0.0000000
## 1277 1.4007946 5.5 0.8509009 0.7404939 0.0000000
## 1278 1.4007946 5.5 0.8509009 0.7404939 0.0000000
## 1279 1.4007946 5.5 0.8509009 0.7404939 0.0000000
## 1280 1.4007946 5.5 0.8509009 0.7404939 0.0000000
## 1281 1.4007946 5.5 0.8509009 0.7404939 0.0000000
## 1282 1.4007946 5.5 0.8509009 0.7404939 0.0000000
## 1283 1.4007946 5.5 0.8509009 0.7404939 0.0000000
## 1284 1.4007946 5.5 0.8509009 0.7404939 0.0000000
## 1285 1.4007946 5.5 0.8509009 0.7404939 0.0000000
## 1286 1.4007946 5.5 0.8509009 0.7404939 0.0000000
## 1287 1.4007946 5.5 0.8509009 0.7404939 0.0000000
## 1288 1.4007946 5.5 0.8509009 0.7404939 0.0000000
## 1289 1.4007946 5.5 0.8509009 0.7404939 0.0000000
## 1290 1.4007946 5.5 0.8509009 0.7404939 0.0000000
## 1291 1.4007946 5.5 0.8509009 0.7404939 0.0000000
## 1292 1.4007946 5.5 0.8509009 0.7404939 0.0000000
## 1293 1.4007946 5.5 0.8509009 0.7404939 0.0000000
## 1294 1.4007946 5.5 0.8509009 0.7404939 0.0000000
## 1295 1.4007946 5.5 0.8509009 0.7404939 0.0000000
## 1296 1.4007946 5.5 0.8509009 0.7404939 0.0000000
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## 1299 0.6574145 4.0 0.8908058 0.8031107 0.0000000
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## 1302 0.6574145 4.0 0.8908058 0.8031107 0.0000000
## 1303 0.6574145 4.0 0.8908058 0.8031107 0.0000000
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## 1305 0.6574145 4.0 0.8908058 0.8031107 0.0000000
## 1306 0.6574145 4.0 0.8908058 0.8031107 0.0000000
## 1307 0.6574145 4.0 0.8908058 0.8031107 0.0000000
## 1308 0.6574145 4.0 0.8908058 0.8031107 0.0000000
## 1309 0.6574145 4.0 0.8908058 0.8031107 0.0000000
## 1310 0.6574145 4.0 0.8908058 0.8031107 0.0000000
## 1311 0.6574145 4.0 0.8908058 0.8031107 0.0000000
## 1312 0.6574145 4.0 0.8908058 0.8031107 0.0000000
## 1313 0.6574145 4.0 0.8908058 0.8031107 0.0000000
## 1314 0.6574145 4.0 0.8908058 0.8031107 0.0000000
## 1315 0.6574145 4.0 0.8908058 0.8031107 0.0000000
## 1316 0.6574145 4.0 0.8908058 0.8031107 0.0000000
## 1317 0.6574145 4.0 0.8908058 0.8031107 0.0000000
## 1318 0.6574145 4.0 0.8908058 0.8031107 0.0000000
## 1319 0.6574145 4.0 0.8908058 0.8031107 0.0000000
## 1320 0.6574145 4.0 0.8908058 0.8031107 0.0000000
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## 1322 0.7227886 4.0 0.9301829 0.8694784 0.0000000
## 1323 0.7227886 4.0 0.9301829 0.8694784 0.0000000
## 1324 0.7227886 4.0 0.9301829 0.8694784 0.0000000
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## 1326 0.7227886 4.0 0.9301829 0.8694784 0.0000000
## 1327 0.7227886 4.0 0.9301829 0.8694784 0.0000000
## 1328 0.7227886 4.0 0.9301829 0.8694784 0.0000000
## 1329 0.7227886 4.0 0.9301829 0.8694784 0.0000000
## 1330 0.7227886 4.0 0.9301829 0.8694784 0.0000000
## 1331 0.7227886 4.0 0.9301829 0.8694784 0.0000000
## 1332 0.7227886 4.0 0.9301829 0.8694784 0.0000000
## 1333 0.7227886 4.0 0.9301829 0.8694784 0.0000000
## 1334 0.7227886 4.0 0.9301829 0.8694784 0.0000000
## 1335 0.7227886 4.0 0.9301829 0.8694784 0.0000000
## 1336 0.7227886 4.0 0.9301829 0.8694784 0.0000000
## 1337 0.7227886 4.0 0.9301829 0.8694784 0.0000000
## 1338 0.7227886 4.0 0.9301829 0.8694784 0.0000000
## 1339 0.7227886 4.0 0.9301829 0.8694784 0.0000000
## 1340 0.7227886 4.0 0.9301829 0.8694784 0.0000000
## 1341 0.7227886 4.0 0.9301829 0.8694784 0.0000000
## 1342 0.7227886 4.0 0.9301829 0.8694784 0.0000000
## 1343 0.7227886 4.0 0.9301829 0.8694784 0.0000000
## 1344 0.7227886 4.0 0.9301829 0.8694784 0.0000000
## 1345 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1346 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1347 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1348 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1349 2.0784670 11.0 0.0000000 0.0000000 0.0000000
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## 1352 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1353 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1354 2.0784670 11.0 0.0000000 0.0000000 0.0000000
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## 1358 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1359 2.0784670 11.0 0.0000000 0.0000000 0.0000000
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## 1363 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1364 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1365 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1366 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1367 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1368 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1369 1.6890637 8.5 0.5151939 0.3469772 0.1250000
## 1370 1.6890637 8.5 0.5151939 0.3469772 0.1250000
## 1371 1.6890637 8.5 0.5151939 0.3469772 0.1250000
## 1372 1.6890637 8.5 0.5151939 0.3469772 0.1250000
## 1373 1.6890637 8.5 0.5151939 0.3469772 0.1250000
## 1374 1.6890637 8.5 0.5151939 0.3469772 0.1250000
## 1375 1.6890637 8.5 0.5151939 0.3469772 0.1250000
## 1376 1.6890637 8.5 0.5151939 0.3469772 0.1250000
## 1377 1.6890637 8.5 0.5151939 0.3469772 0.1250000
## 1378 1.6890637 8.5 0.5151939 0.3469772 0.1250000
## 1379 1.6890637 8.5 0.5151939 0.3469772 0.1250000
## 1380 1.6890637 8.5 0.5151939 0.3469772 0.1250000
## 1381 1.6890637 8.5 0.5151939 0.3469772 0.1250000
## 1382 1.6890637 8.5 0.5151939 0.3469772 0.1250000
## 1383 1.6890637 8.5 0.5151939 0.3469772 0.1250000
## 1384 1.6890637 8.5 0.5151939 0.3469772 0.1250000
## 1385 1.6890637 8.5 0.5151939 0.3469772 0.1250000
## 1386 1.6890637 8.5 0.5151939 0.3469772 0.1250000
## 1387 1.6890637 8.5 0.5151939 0.3469772 0.1250000
## 1388 1.6890637 8.5 0.5151939 0.3469772 0.1250000
## 1389 1.6890637 8.5 0.5151939 0.3469772 0.1250000
## 1390 1.6890637 8.5 0.5151939 0.3469772 0.1250000
## 1391 1.6890637 8.5 0.5151939 0.3469772 0.1250000
## 1392 1.6890637 8.5 0.5151939 0.3469772 0.1250000
## 1393 1.6613680 9.0 0.6067317 0.4354738 0.1111111
## 1394 1.6613680 9.0 0.6067317 0.4354738 0.1111111
## 1395 1.6613680 9.0 0.6067317 0.4354738 0.1111111
## 1396 1.6613680 9.0 0.6067317 0.4354738 0.1111111
## 1397 1.6613680 9.0 0.6067317 0.4354738 0.1111111
## 1398 1.6613680 9.0 0.6067317 0.4354738 0.1111111
## 1399 1.6613680 9.0 0.6067317 0.4354738 0.1111111
## 1400 1.6613680 9.0 0.6067317 0.4354738 0.1111111
## 1401 1.6613680 9.0 0.6067317 0.4354738 0.1111111
## 1402 1.6613680 9.0 0.6067317 0.4354738 0.1111111
## 1403 1.6613680 9.0 0.6067317 0.4354738 0.1111111
## 1404 1.6613680 9.0 0.6067317 0.4354738 0.1111111
## 1405 1.6613680 9.0 0.6067317 0.4354738 0.1111111
## 1406 1.6613680 9.0 0.6067317 0.4354738 0.1111111
## 1407 1.6613680 9.0 0.6067317 0.4354738 0.1111111
## 1408 1.6613680 9.0 0.6067317 0.4354738 0.1111111
## 1409 1.6613680 9.0 0.6067317 0.4354738 0.1111111
## 1410 1.6613680 9.0 0.6067317 0.4354738 0.1111111
## 1411 1.6613680 9.0 0.6067317 0.4354738 0.1111111
## 1412 1.6613680 9.0 0.6067317 0.4354738 0.1111111
## 1413 1.6613680 9.0 0.6067317 0.4354738 0.1111111
## 1414 1.6613680 9.0 0.6067317 0.4354738 0.1111111
## 1415 1.6613680 9.0 0.6067317 0.4354738 0.1111111
## 1416 1.6613680 9.0 0.6067317 0.4354738 0.1111111
## 1417 1.7836333 7.5 0.5057999 0.3385088 0.0000000
## 1418 1.7836333 7.5 0.5057999 0.3385088 0.0000000
## 1419 1.7836333 7.5 0.5057999 0.3385088 0.0000000
## 1420 1.7836333 7.5 0.5057999 0.3385088 0.0000000
## 1421 1.7836333 7.5 0.5057999 0.3385088 0.0000000
## 1422 1.7836333 7.5 0.5057999 0.3385088 0.0000000
## 1423 1.7836333 7.5 0.5057999 0.3385088 0.0000000
## 1424 1.7836333 7.5 0.5057999 0.3385088 0.0000000
## 1425 1.7836333 7.5 0.5057999 0.3385088 0.0000000
## 1426 1.7836333 7.5 0.5057999 0.3385088 0.0000000
## 1427 1.7836333 7.5 0.5057999 0.3385088 0.0000000
## 1428 1.7836333 7.5 0.5057999 0.3385088 0.0000000
## 1429 1.7836333 7.5 0.5057999 0.3385088 0.0000000
## 1430 1.7836333 7.5 0.5057999 0.3385088 0.0000000
## 1431 1.7836333 7.5 0.5057999 0.3385088 0.0000000
## 1432 1.7836333 7.5 0.5057999 0.3385088 0.0000000
## 1433 1.7836333 7.5 0.5057999 0.3385088 0.0000000
## 1434 1.7836333 7.5 0.5057999 0.3385088 0.0000000
## 1435 1.7836333 7.5 0.5057999 0.3385088 0.0000000
## 1436 1.7836333 7.5 0.5057999 0.3385088 0.0000000
## 1437 1.7836333 7.5 0.5057999 0.3385088 0.0000000
## 1438 1.7836333 7.5 0.5057999 0.3385088 0.0000000
## 1439 1.7836333 7.5 0.5057999 0.3385088 0.0000000
## 1440 1.7836333 7.5 0.5057999 0.3385088 0.0000000
## 1441 1.2942730 5.0 0.7453294 0.5940439 0.3333333
## 1442 1.2942730 5.0 0.7453294 0.5940439 0.3333333
## 1443 1.2942730 5.0 0.7453294 0.5940439 0.3333333
## 1444 1.2942730 5.0 0.7453294 0.5940439 0.3333333
## 1445 1.2942730 5.0 0.7453294 0.5940439 0.3333333
## 1446 1.2942730 5.0 0.7453294 0.5940439 0.3333333
## 1447 1.2942730 5.0 0.7453294 0.5940439 0.3333333
## 1448 1.2942730 5.0 0.7453294 0.5940439 0.3333333
## 1449 1.2942730 5.0 0.7453294 0.5940439 0.3333333
## 1450 1.2942730 5.0 0.7453294 0.5940439 0.3333333
## 1451 1.2942730 5.0 0.7453294 0.5940439 0.3333333
## 1452 1.2942730 5.0 0.7453294 0.5940439 0.3333333
## 1453 1.2942730 5.0 0.7453294 0.5940439 0.3333333
## 1454 1.2942730 5.0 0.7453294 0.5940439 0.3333333
## 1455 1.2942730 5.0 0.7453294 0.5940439 0.3333333
## 1456 1.2942730 5.0 0.7453294 0.5940439 0.3333333
## 1457 1.2942730 5.0 0.7453294 0.5940439 0.3333333
## 1458 1.2942730 5.0 0.7453294 0.5940439 0.3333333
## 1459 1.2942730 5.0 0.7453294 0.5940439 0.3333333
## 1460 1.2942730 5.0 0.7453294 0.5940439 0.3333333
## 1461 1.2942730 5.0 0.7453294 0.5940439 0.3333333
## 1462 1.2942730 5.0 0.7453294 0.5940439 0.3333333
## 1463 1.2942730 5.0 0.7453294 0.5940439 0.3333333
## 1464 1.2942730 5.0 0.7453294 0.5940439 0.3333333
## 1465 1.2686511 4.5 0.9064490 0.8289043 0.3333333
## 1466 1.2686511 4.5 0.9064490 0.8289043 0.3333333
## 1467 1.2686511 4.5 0.9064490 0.8289043 0.3333333
## 1468 1.2686511 4.5 0.9064490 0.8289043 0.3333333
## 1469 1.2686511 4.5 0.9064490 0.8289043 0.3333333
## 1470 1.2686511 4.5 0.9064490 0.8289043 0.3333333
## 1471 1.2686511 4.5 0.9064490 0.8289043 0.3333333
## 1472 1.2686511 4.5 0.9064490 0.8289043 0.3333333
## 1473 1.2686511 4.5 0.9064490 0.8289043 0.3333333
## 1474 1.2686511 4.5 0.9064490 0.8289043 0.3333333
## 1475 1.2686511 4.5 0.9064490 0.8289043 0.3333333
## 1476 1.2686511 4.5 0.9064490 0.8289043 0.3333333
## 1477 1.2686511 4.5 0.9064490 0.8289043 0.3333333
## 1478 1.2686511 4.5 0.9064490 0.8289043 0.3333333
## 1479 1.2686511 4.5 0.9064490 0.8289043 0.3333333
## 1480 1.2686511 4.5 0.9064490 0.8289043 0.3333333
## 1481 1.2686511 4.5 0.9064490 0.8289043 0.3333333
## 1482 1.2686511 4.5 0.9064490 0.8289043 0.3333333
## 1483 1.2686511 4.5 0.9064490 0.8289043 0.3333333
## 1484 1.2686511 4.5 0.9064490 0.8289043 0.3333333
## 1485 1.2686511 4.5 0.9064490 0.8289043 0.3333333
## 1486 1.2686511 4.5 0.9064490 0.8289043 0.3333333
## 1487 1.2686511 4.5 0.9064490 0.8289043 0.3333333
## 1488 1.2686511 4.5 0.9064490 0.8289043 0.3333333
## 1489 0.5707230 4.5 0.8832972 0.7909868 0.0000000
## 1490 0.5707230 4.5 0.8832972 0.7909868 0.0000000
## 1491 0.5707230 4.5 0.8832972 0.7909868 0.0000000
## 1492 0.5707230 4.5 0.8832972 0.7909868 0.0000000
## 1493 0.5707230 4.5 0.8832972 0.7909868 0.0000000
## 1494 0.5707230 4.5 0.8832972 0.7909868 0.0000000
## 1495 0.5707230 4.5 0.8832972 0.7909868 0.0000000
## 1496 0.5707230 4.5 0.8832972 0.7909868 0.0000000
## 1497 0.5707230 4.5 0.8832972 0.7909868 0.0000000
## 1498 0.5707230 4.5 0.8832972 0.7909868 0.0000000
## 1499 0.5707230 4.5 0.8832972 0.7909868 0.0000000
## 1500 0.5707230 4.5 0.8832972 0.7909868 0.0000000
## 1501 0.5707230 4.5 0.8832972 0.7909868 0.0000000
## 1502 0.5707230 4.5 0.8832972 0.7909868 0.0000000
## 1503 0.5707230 4.5 0.8832972 0.7909868 0.0000000
## 1504 0.5707230 4.5 0.8832972 0.7909868 0.0000000
## 1505 0.5707230 4.5 0.8832972 0.7909868 0.0000000
## 1506 0.5707230 4.5 0.8832972 0.7909868 0.0000000
## 1507 0.5707230 4.5 0.8832972 0.7909868 0.0000000
## 1508 0.5707230 4.5 0.8832972 0.7909868 0.0000000
## 1509 0.5707230 4.5 0.8832972 0.7909868 0.0000000
## 1510 0.5707230 4.5 0.8832972 0.7909868 0.0000000
## 1511 0.5707230 4.5 0.8832972 0.7909868 0.0000000
## 1512 0.5707230 4.5 0.8832972 0.7909868 0.0000000
## 1513 0.5951247 4.0 0.9576002 0.9186497 0.0000000
## 1514 0.5951247 4.0 0.9576002 0.9186497 0.0000000
## 1515 0.5951247 4.0 0.9576002 0.9186497 0.0000000
## 1516 0.5951247 4.0 0.9576002 0.9186497 0.0000000
## 1517 0.5951247 4.0 0.9576002 0.9186497 0.0000000
## 1518 0.5951247 4.0 0.9576002 0.9186497 0.0000000
## 1519 0.5951247 4.0 0.9576002 0.9186497 0.0000000
## 1520 0.5951247 4.0 0.9576002 0.9186497 0.0000000
## 1521 0.5951247 4.0 0.9576002 0.9186497 0.0000000
## 1522 0.5951247 4.0 0.9576002 0.9186497 0.0000000
## 1523 0.5951247 4.0 0.9576002 0.9186497 0.0000000
## 1524 0.5951247 4.0 0.9576002 0.9186497 0.0000000
## 1525 0.5951247 4.0 0.9576002 0.9186497 0.0000000
## 1526 0.5951247 4.0 0.9576002 0.9186497 0.0000000
## 1527 0.5951247 4.0 0.9576002 0.9186497 0.0000000
## 1528 0.5951247 4.0 0.9576002 0.9186497 0.0000000
## 1529 0.5951247 4.0 0.9576002 0.9186497 0.0000000
## 1530 0.5951247 4.0 0.9576002 0.9186497 0.0000000
## 1531 0.5951247 4.0 0.9576002 0.9186497 0.0000000
## 1532 0.5951247 4.0 0.9576002 0.9186497 0.0000000
## 1533 0.5951247 4.0 0.9576002 0.9186497 0.0000000
## 1534 0.5951247 4.0 0.9576002 0.9186497 0.0000000
## 1535 0.5951247 4.0 0.9576002 0.9186497 0.0000000
## 1536 0.5951247 4.0 0.9576002 0.9186497 0.0000000
## 1537 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1538 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1539 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1540 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1541 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1542 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1543 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1544 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1545 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1546 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1547 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1548 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1549 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1550 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1551 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1552 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1553 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1554 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1555 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1556 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1557 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1558 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1559 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1560 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1561 1.5862113 7.5 0.3935303 0.2449659 0.1428571
## 1562 1.5862113 7.5 0.3935303 0.2449659 0.1428571
## 1563 1.5862113 7.5 0.3935303 0.2449659 0.1428571
## 1564 1.5862113 7.5 0.3935303 0.2449659 0.1428571
## 1565 1.5862113 7.5 0.3935303 0.2449659 0.1428571
## 1566 1.5862113 7.5 0.3935303 0.2449659 0.1428571
## 1567 1.5862113 7.5 0.3935303 0.2449659 0.1428571
## 1568 1.5862113 7.5 0.3935303 0.2449659 0.1428571
## 1569 1.5862113 7.5 0.3935303 0.2449659 0.1428571
## 1570 1.5862113 7.5 0.3935303 0.2449659 0.1428571
## 1571 1.5862113 7.5 0.3935303 0.2449659 0.1428571
## 1572 1.5862113 7.5 0.3935303 0.2449659 0.1428571
## 1573 1.5862113 7.5 0.3935303 0.2449659 0.1428571
## 1574 1.5862113 7.5 0.3935303 0.2449659 0.1428571
## 1575 1.5862113 7.5 0.3935303 0.2449659 0.1428571
## 1576 1.5862113 7.5 0.3935303 0.2449659 0.1428571
## 1577 1.5862113 7.5 0.3935303 0.2449659 0.1428571
## 1578 1.5862113 7.5 0.3935303 0.2449659 0.1428571
## 1579 1.5862113 7.5 0.3935303 0.2449659 0.1428571
## 1580 1.5862113 7.5 0.3935303 0.2449659 0.1428571
## 1581 1.5862113 7.5 0.3935303 0.2449659 0.1428571
## 1582 1.5862113 7.5 0.3935303 0.2449659 0.1428571
## 1583 1.5862113 7.5 0.3935303 0.2449659 0.1428571
## 1584 1.5862113 7.5 0.3935303 0.2449659 0.1428571
## 1585 1.4948352 8.5 0.6102781 0.4391368 0.1250000
## 1586 1.4948352 8.5 0.6102781 0.4391368 0.1250000
## 1587 1.4948352 8.5 0.6102781 0.4391368 0.1250000
## 1588 1.4948352 8.5 0.6102781 0.4391368 0.1250000
## 1589 1.4948352 8.5 0.6102781 0.4391368 0.1250000
## 1590 1.4948352 8.5 0.6102781 0.4391368 0.1250000
## 1591 1.4948352 8.5 0.6102781 0.4391368 0.1250000
## 1592 1.4948352 8.5 0.6102781 0.4391368 0.1250000
## 1593 1.4948352 8.5 0.6102781 0.4391368 0.1250000
## 1594 1.4948352 8.5 0.6102781 0.4391368 0.1250000
## 1595 1.4948352 8.5 0.6102781 0.4391368 0.1250000
## 1596 1.4948352 8.5 0.6102781 0.4391368 0.1250000
## 1597 1.4948352 8.5 0.6102781 0.4391368 0.1250000
## 1598 1.4948352 8.5 0.6102781 0.4391368 0.1250000
## 1599 1.4948352 8.5 0.6102781 0.4391368 0.1250000
## 1600 1.4948352 8.5 0.6102781 0.4391368 0.1250000
## 1601 1.4948352 8.5 0.6102781 0.4391368 0.1250000
## 1602 1.4948352 8.5 0.6102781 0.4391368 0.1250000
## 1603 1.4948352 8.5 0.6102781 0.4391368 0.1250000
## 1604 1.4948352 8.5 0.6102781 0.4391368 0.1250000
## 1605 1.4948352 8.5 0.6102781 0.4391368 0.1250000
## 1606 1.4948352 8.5 0.6102781 0.4391368 0.1250000
## 1607 1.4948352 8.5 0.6102781 0.4391368 0.1250000
## 1608 1.4948352 8.5 0.6102781 0.4391368 0.1250000
## 1609 1.4254256 6.0 0.5077328 0.3402426 0.1666667
## 1610 1.4254256 6.0 0.5077328 0.3402426 0.1666667
## 1611 1.4254256 6.0 0.5077328 0.3402426 0.1666667
## 1612 1.4254256 6.0 0.5077328 0.3402426 0.1666667
## 1613 1.4254256 6.0 0.5077328 0.3402426 0.1666667
## 1614 1.4254256 6.0 0.5077328 0.3402426 0.1666667
## 1615 1.4254256 6.0 0.5077328 0.3402426 0.1666667
## 1616 1.4254256 6.0 0.5077328 0.3402426 0.1666667
## 1617 1.4254256 6.0 0.5077328 0.3402426 0.1666667
## 1618 1.4254256 6.0 0.5077328 0.3402426 0.1666667
## 1619 1.4254256 6.0 0.5077328 0.3402426 0.1666667
## 1620 1.4254256 6.0 0.5077328 0.3402426 0.1666667
## 1621 1.4254256 6.0 0.5077328 0.3402426 0.1666667
## 1622 1.4254256 6.0 0.5077328 0.3402426 0.1666667
## 1623 1.4254256 6.0 0.5077328 0.3402426 0.1666667
## 1624 1.4254256 6.0 0.5077328 0.3402426 0.1666667
## 1625 1.4254256 6.0 0.5077328 0.3402426 0.1666667
## 1626 1.4254256 6.0 0.5077328 0.3402426 0.1666667
## 1627 1.4254256 6.0 0.5077328 0.3402426 0.1666667
## 1628 1.4254256 6.0 0.5077328 0.3402426 0.1666667
## 1629 1.4254256 6.0 0.5077328 0.3402426 0.1666667
## 1630 1.4254256 6.0 0.5077328 0.3402426 0.1666667
## 1631 1.4254256 6.0 0.5077328 0.3402426 0.1666667
## 1632 1.4254256 6.0 0.5077328 0.3402426 0.1666667
## 1633 1.1525871 4.5 0.7699053 0.6258911 0.6666667
## 1634 1.1525871 4.5 0.7699053 0.6258911 0.6666667
## 1635 1.1525871 4.5 0.7699053 0.6258911 0.6666667
## 1636 1.1525871 4.5 0.7699053 0.6258911 0.6666667
## 1637 1.1525871 4.5 0.7699053 0.6258911 0.6666667
## 1638 1.1525871 4.5 0.7699053 0.6258911 0.6666667
## 1639 1.1525871 4.5 0.7699053 0.6258911 0.6666667
## 1640 1.1525871 4.5 0.7699053 0.6258911 0.6666667
## 1641 1.1525871 4.5 0.7699053 0.6258911 0.6666667
## 1642 1.1525871 4.5 0.7699053 0.6258911 0.6666667
## 1643 1.1525871 4.5 0.7699053 0.6258911 0.6666667
## 1644 1.1525871 4.5 0.7699053 0.6258911 0.6666667
## 1645 1.1525871 4.5 0.7699053 0.6258911 0.6666667
## 1646 1.1525871 4.5 0.7699053 0.6258911 0.6666667
## 1647 1.1525871 4.5 0.7699053 0.6258911 0.6666667
## 1648 1.1525871 4.5 0.7699053 0.6258911 0.6666667
## 1649 1.1525871 4.5 0.7699053 0.6258911 0.6666667
## 1650 1.1525871 4.5 0.7699053 0.6258911 0.6666667
## 1651 1.1525871 4.5 0.7699053 0.6258911 0.6666667
## 1652 1.1525871 4.5 0.7699053 0.6258911 0.6666667
## 1653 1.1525871 4.5 0.7699053 0.6258911 0.6666667
## 1654 1.1525871 4.5 0.7699053 0.6258911 0.6666667
## 1655 1.1525871 4.5 0.7699053 0.6258911 0.6666667
## 1656 1.1525871 4.5 0.7699053 0.6258911 0.6666667
## 1657 1.2474031 4.0 0.9374289 0.8822270 0.6666667
## 1658 1.2474031 4.0 0.9374289 0.8822270 0.6666667
## 1659 1.2474031 4.0 0.9374289 0.8822270 0.6666667
## 1660 1.2474031 4.0 0.9374289 0.8822270 0.6666667
## 1661 1.2474031 4.0 0.9374289 0.8822270 0.6666667
## 1662 1.2474031 4.0 0.9374289 0.8822270 0.6666667
## 1663 1.2474031 4.0 0.9374289 0.8822270 0.6666667
## 1664 1.2474031 4.0 0.9374289 0.8822270 0.6666667
## 1665 1.2474031 4.0 0.9374289 0.8822270 0.6666667
## 1666 1.2474031 4.0 0.9374289 0.8822270 0.6666667
## 1667 1.2474031 4.0 0.9374289 0.8822270 0.6666667
## 1668 1.2474031 4.0 0.9374289 0.8822270 0.6666667
## 1669 1.2474031 4.0 0.9374289 0.8822270 0.6666667
## 1670 1.2474031 4.0 0.9374289 0.8822270 0.6666667
## 1671 1.2474031 4.0 0.9374289 0.8822270 0.6666667
## 1672 1.2474031 4.0 0.9374289 0.8822270 0.6666667
## 1673 1.2474031 4.0 0.9374289 0.8822270 0.6666667
## 1674 1.2474031 4.0 0.9374289 0.8822270 0.6666667
## 1675 1.2474031 4.0 0.9374289 0.8822270 0.6666667
## 1676 1.2474031 4.0 0.9374289 0.8822270 0.6666667
## 1677 1.2474031 4.0 0.9374289 0.8822270 0.6666667
## 1678 1.2474031 4.0 0.9374289 0.8822270 0.6666667
## 1679 1.2474031 4.0 0.9374289 0.8822270 0.6666667
## 1680 1.2474031 4.0 0.9374289 0.8822270 0.6666667
## 1681 0.7728167 3.5 0.7388350 0.5858353 0.0000000
## 1682 0.7728167 3.5 0.7388350 0.5858353 0.0000000
## 1683 0.7728167 3.5 0.7388350 0.5858353 0.0000000
## 1684 0.7728167 3.5 0.7388350 0.5858353 0.0000000
## 1685 0.7728167 3.5 0.7388350 0.5858353 0.0000000
## 1686 0.7728167 3.5 0.7388350 0.5858353 0.0000000
## 1687 0.7728167 3.5 0.7388350 0.5858353 0.0000000
## 1688 0.7728167 3.5 0.7388350 0.5858353 0.0000000
## 1689 0.7728167 3.5 0.7388350 0.5858353 0.0000000
## 1690 0.7728167 3.5 0.7388350 0.5858353 0.0000000
## 1691 0.7728167 3.5 0.7388350 0.5858353 0.0000000
## 1692 0.7728167 3.5 0.7388350 0.5858353 0.0000000
## 1693 0.7728167 3.5 0.7388350 0.5858353 0.0000000
## 1694 0.7728167 3.5 0.7388350 0.5858353 0.0000000
## 1695 0.7728167 3.5 0.7388350 0.5858353 0.0000000
## 1696 0.7728167 3.5 0.7388350 0.5858353 0.0000000
## 1697 0.7728167 3.5 0.7388350 0.5858353 0.0000000
## 1698 0.7728167 3.5 0.7388350 0.5858353 0.0000000
## 1699 0.7728167 3.5 0.7388350 0.5858353 0.0000000
## 1700 0.7728167 3.5 0.7388350 0.5858353 0.0000000
## 1701 0.7728167 3.5 0.7388350 0.5858353 0.0000000
## 1702 0.7728167 3.5 0.7388350 0.5858353 0.0000000
## 1703 0.7728167 3.5 0.7388350 0.5858353 0.0000000
## 1704 0.7728167 3.5 0.7388350 0.5858353 0.0000000
## 1705 0.6460517 3.0 0.7497872 0.5997277 0.0000000
## 1706 0.6460517 3.0 0.7497872 0.5997277 0.0000000
## 1707 0.6460517 3.0 0.7497872 0.5997277 0.0000000
## 1708 0.6460517 3.0 0.7497872 0.5997277 0.0000000
## 1709 0.6460517 3.0 0.7497872 0.5997277 0.0000000
## 1710 0.6460517 3.0 0.7497872 0.5997277 0.0000000
## 1711 0.6460517 3.0 0.7497872 0.5997277 0.0000000
## 1712 0.6460517 3.0 0.7497872 0.5997277 0.0000000
## 1713 0.6460517 3.0 0.7497872 0.5997277 0.0000000
## 1714 0.6460517 3.0 0.7497872 0.5997277 0.0000000
## 1715 0.6460517 3.0 0.7497872 0.5997277 0.0000000
## 1716 0.6460517 3.0 0.7497872 0.5997277 0.0000000
## 1717 0.6460517 3.0 0.7497872 0.5997277 0.0000000
## 1718 0.6460517 3.0 0.7497872 0.5997277 0.0000000
## 1719 0.6460517 3.0 0.7497872 0.5997277 0.0000000
## 1720 0.6460517 3.0 0.7497872 0.5997277 0.0000000
## 1721 0.6460517 3.0 0.7497872 0.5997277 0.0000000
## 1722 0.6460517 3.0 0.7497872 0.5997277 0.0000000
## 1723 0.6460517 3.0 0.7497872 0.5997277 0.0000000
## 1724 0.6460517 3.0 0.7497872 0.5997277 0.0000000
## 1725 0.6460517 3.0 0.7497872 0.5997277 0.0000000
## 1726 0.6460517 3.0 0.7497872 0.5997277 0.0000000
## 1727 0.6460517 3.0 0.7497872 0.5997277 0.0000000
## 1728 0.6460517 3.0 0.7497872 0.5997277 0.0000000
## 1729 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1730 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1731 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1732 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1733 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1734 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1735 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1736 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1737 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1738 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1739 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1740 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1741 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1742 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1743 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1744 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1745 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1746 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1747 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1748 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1749 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1750 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1751 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1752 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1753 1.8112725 8.5 0.5241108 0.3551153 0.0000000
## 1754 1.8112725 8.5 0.5241108 0.3551153 0.0000000
## 1755 1.8112725 8.5 0.5241108 0.3551153 0.0000000
## 1756 1.8112725 8.5 0.5241108 0.3551153 0.0000000
## 1757 1.8112725 8.5 0.5241108 0.3551153 0.0000000
## 1758 1.8112725 8.5 0.5241108 0.3551153 0.0000000
## 1759 1.8112725 8.5 0.5241108 0.3551153 0.0000000
## 1760 1.8112725 8.5 0.5241108 0.3551153 0.0000000
## 1761 1.8112725 8.5 0.5241108 0.3551153 0.0000000
## 1762 1.8112725 8.5 0.5241108 0.3551153 0.0000000
## 1763 1.8112725 8.5 0.5241108 0.3551153 0.0000000
## 1764 1.8112725 8.5 0.5241108 0.3551153 0.0000000
## 1765 1.8112725 8.5 0.5241108 0.3551153 0.0000000
## 1766 1.8112725 8.5 0.5241108 0.3551153 0.0000000
## 1767 1.8112725 8.5 0.5241108 0.3551153 0.0000000
## 1768 1.8112725 8.5 0.5241108 0.3551153 0.0000000
## 1769 1.8112725 8.5 0.5241108 0.3551153 0.0000000
## 1770 1.8112725 8.5 0.5241108 0.3551153 0.0000000
## 1771 1.8112725 8.5 0.5241108 0.3551153 0.0000000
## 1772 1.8112725 8.5 0.5241108 0.3551153 0.0000000
## 1773 1.8112725 8.5 0.5241108 0.3551153 0.0000000
## 1774 1.8112725 8.5 0.5241108 0.3551153 0.0000000
## 1775 1.8112725 8.5 0.5241108 0.3551153 0.0000000
## 1776 1.8112725 8.5 0.5241108 0.3551153 0.0000000
## 1777 1.5778693 8.0 0.7006088 0.5391824 0.1428571
## 1778 1.5778693 8.0 0.7006088 0.5391824 0.1428571
## 1779 1.5778693 8.0 0.7006088 0.5391824 0.1428571
## 1780 1.5778693 8.0 0.7006088 0.5391824 0.1428571
## 1781 1.5778693 8.0 0.7006088 0.5391824 0.1428571
## 1782 1.5778693 8.0 0.7006088 0.5391824 0.1428571
## 1783 1.5778693 8.0 0.7006088 0.5391824 0.1428571
## 1784 1.5778693 8.0 0.7006088 0.5391824 0.1428571
## 1785 1.5778693 8.0 0.7006088 0.5391824 0.1428571
## 1786 1.5778693 8.0 0.7006088 0.5391824 0.1428571
## 1787 1.5778693 8.0 0.7006088 0.5391824 0.1428571
## 1788 1.5778693 8.0 0.7006088 0.5391824 0.1428571
## 1789 1.5778693 8.0 0.7006088 0.5391824 0.1428571
## 1790 1.5778693 8.0 0.7006088 0.5391824 0.1428571
## 1791 1.5778693 8.0 0.7006088 0.5391824 0.1428571
## 1792 1.5778693 8.0 0.7006088 0.5391824 0.1428571
## 1793 1.5778693 8.0 0.7006088 0.5391824 0.1428571
## 1794 1.5778693 8.0 0.7006088 0.5391824 0.1428571
## 1795 1.5778693 8.0 0.7006088 0.5391824 0.1428571
## 1796 1.5778693 8.0 0.7006088 0.5391824 0.1428571
## 1797 1.5778693 8.0 0.7006088 0.5391824 0.1428571
## 1798 1.5778693 8.0 0.7006088 0.5391824 0.1428571
## 1799 1.5778693 8.0 0.7006088 0.5391824 0.1428571
## 1800 1.5778693 8.0 0.7006088 0.5391824 0.1428571
## 1801 1.7398154 7.0 0.4756098 0.3120000 0.0000000
## 1802 1.7398154 7.0 0.4756098 0.3120000 0.0000000
## 1803 1.7398154 7.0 0.4756098 0.3120000 0.0000000
## 1804 1.7398154 7.0 0.4756098 0.3120000 0.0000000
## 1805 1.7398154 7.0 0.4756098 0.3120000 0.0000000
## 1806 1.7398154 7.0 0.4756098 0.3120000 0.0000000
## 1807 1.7398154 7.0 0.4756098 0.3120000 0.0000000
## 1808 1.7398154 7.0 0.4756098 0.3120000 0.0000000
## 1809 1.7398154 7.0 0.4756098 0.3120000 0.0000000
## 1810 1.7398154 7.0 0.4756098 0.3120000 0.0000000
## 1811 1.7398154 7.0 0.4756098 0.3120000 0.0000000
## 1812 1.7398154 7.0 0.4756098 0.3120000 0.0000000
## 1813 1.7398154 7.0 0.4756098 0.3120000 0.0000000
## 1814 1.7398154 7.0 0.4756098 0.3120000 0.0000000
## 1815 1.7398154 7.0 0.4756098 0.3120000 0.0000000
## 1816 1.7398154 7.0 0.4756098 0.3120000 0.0000000
## 1817 1.7398154 7.0 0.4756098 0.3120000 0.0000000
## 1818 1.7398154 7.0 0.4756098 0.3120000 0.0000000
## 1819 1.7398154 7.0 0.4756098 0.3120000 0.0000000
## 1820 1.7398154 7.0 0.4756098 0.3120000 0.0000000
## 1821 1.7398154 7.0 0.4756098 0.3120000 0.0000000
## 1822 1.7398154 7.0 0.4756098 0.3120000 0.0000000
## 1823 1.7398154 7.0 0.4756098 0.3120000 0.0000000
## 1824 1.7398154 7.0 0.4756098 0.3120000 0.0000000
## 1825 1.2519825 5.5 0.7460988 0.5950220 0.3333333
## 1826 1.2519825 5.5 0.7460988 0.5950220 0.3333333
## 1827 1.2519825 5.5 0.7460988 0.5950220 0.3333333
## 1828 1.2519825 5.5 0.7460988 0.5950220 0.3333333
## 1829 1.2519825 5.5 0.7460988 0.5950220 0.3333333
## 1830 1.2519825 5.5 0.7460988 0.5950220 0.3333333
## 1831 1.2519825 5.5 0.7460988 0.5950220 0.3333333
## 1832 1.2519825 5.5 0.7460988 0.5950220 0.3333333
## 1833 1.2519825 5.5 0.7460988 0.5950220 0.3333333
## 1834 1.2519825 5.5 0.7460988 0.5950220 0.3333333
## 1835 1.2519825 5.5 0.7460988 0.5950220 0.3333333
## 1836 1.2519825 5.5 0.7460988 0.5950220 0.3333333
## 1837 1.2519825 5.5 0.7460988 0.5950220 0.3333333
## 1838 1.2519825 5.5 0.7460988 0.5950220 0.3333333
## 1839 1.2519825 5.5 0.7460988 0.5950220 0.3333333
## 1840 1.2519825 5.5 0.7460988 0.5950220 0.3333333
## 1841 1.2519825 5.5 0.7460988 0.5950220 0.3333333
## 1842 1.2519825 5.5 0.7460988 0.5950220 0.3333333
## 1843 1.2519825 5.5 0.7460988 0.5950220 0.3333333
## 1844 1.2519825 5.5 0.7460988 0.5950220 0.3333333
## 1845 1.2519825 5.5 0.7460988 0.5950220 0.3333333
## 1846 1.2519825 5.5 0.7460988 0.5950220 0.3333333
## 1847 1.2519825 5.5 0.7460988 0.5950220 0.3333333
## 1848 1.2519825 5.5 0.7460988 0.5950220 0.3333333
## 1849 1.4667712 5.5 0.9079875 0.8314808 0.3333333
## 1850 1.4667712 5.5 0.9079875 0.8314808 0.3333333
## 1851 1.4667712 5.5 0.9079875 0.8314808 0.3333333
## 1852 1.4667712 5.5 0.9079875 0.8314808 0.3333333
## 1853 1.4667712 5.5 0.9079875 0.8314808 0.3333333
## 1854 1.4667712 5.5 0.9079875 0.8314808 0.3333333
## 1855 1.4667712 5.5 0.9079875 0.8314808 0.3333333
## 1856 1.4667712 5.5 0.9079875 0.8314808 0.3333333
## 1857 1.4667712 5.5 0.9079875 0.8314808 0.3333333
## 1858 1.4667712 5.5 0.9079875 0.8314808 0.3333333
## 1859 1.4667712 5.5 0.9079875 0.8314808 0.3333333
## 1860 1.4667712 5.5 0.9079875 0.8314808 0.3333333
## 1861 1.4667712 5.5 0.9079875 0.8314808 0.3333333
## 1862 1.4667712 5.5 0.9079875 0.8314808 0.3333333
## 1863 1.4667712 5.5 0.9079875 0.8314808 0.3333333
## 1864 1.4667712 5.5 0.9079875 0.8314808 0.3333333
## 1865 1.4667712 5.5 0.9079875 0.8314808 0.3333333
## 1866 1.4667712 5.5 0.9079875 0.8314808 0.3333333
## 1867 1.4667712 5.5 0.9079875 0.8314808 0.3333333
## 1868 1.4667712 5.5 0.9079875 0.8314808 0.3333333
## 1869 1.4667712 5.5 0.9079875 0.8314808 0.3333333
## 1870 1.4667712 5.5 0.9079875 0.8314808 0.3333333
## 1871 1.4667712 5.5 0.9079875 0.8314808 0.3333333
## 1872 1.4667712 5.5 0.9079875 0.8314808 0.3333333
## 1873 0.8928972 4.5 0.9027828 0.8227931 0.0000000
## 1874 0.8928972 4.5 0.9027828 0.8227931 0.0000000
## 1875 0.8928972 4.5 0.9027828 0.8227931 0.0000000
## 1876 0.8928972 4.5 0.9027828 0.8227931 0.0000000
## 1877 0.8928972 4.5 0.9027828 0.8227931 0.0000000
## 1878 0.8928972 4.5 0.9027828 0.8227931 0.0000000
## 1879 0.8928972 4.5 0.9027828 0.8227931 0.0000000
## 1880 0.8928972 4.5 0.9027828 0.8227931 0.0000000
## 1881 0.8928972 4.5 0.9027828 0.8227931 0.0000000
## 1882 0.8928972 4.5 0.9027828 0.8227931 0.0000000
## 1883 0.8928972 4.5 0.9027828 0.8227931 0.0000000
## 1884 0.8928972 4.5 0.9027828 0.8227931 0.0000000
## 1885 0.8928972 4.5 0.9027828 0.8227931 0.0000000
## 1886 0.8928972 4.5 0.9027828 0.8227931 0.0000000
## 1887 0.8928972 4.5 0.9027828 0.8227931 0.0000000
## 1888 0.8928972 4.5 0.9027828 0.8227931 0.0000000
## 1889 0.8928972 4.5 0.9027828 0.8227931 0.0000000
## 1890 0.8928972 4.5 0.9027828 0.8227931 0.0000000
## 1891 0.8928972 4.5 0.9027828 0.8227931 0.0000000
## 1892 0.8928972 4.5 0.9027828 0.8227931 0.0000000
## 1893 0.8928972 4.5 0.9027828 0.8227931 0.0000000
## 1894 0.8928972 4.5 0.9027828 0.8227931 0.0000000
## 1895 0.8928972 4.5 0.9027828 0.8227931 0.0000000
## 1896 0.8928972 4.5 0.9027828 0.8227931 0.0000000
## 1897 0.6549539 4.5 0.9497693 0.9043436 0.0000000
## 1898 0.6549539 4.5 0.9497693 0.9043436 0.0000000
## 1899 0.6549539 4.5 0.9497693 0.9043436 0.0000000
## 1900 0.6549539 4.5 0.9497693 0.9043436 0.0000000
## 1901 0.6549539 4.5 0.9497693 0.9043436 0.0000000
## 1902 0.6549539 4.5 0.9497693 0.9043436 0.0000000
## 1903 0.6549539 4.5 0.9497693 0.9043436 0.0000000
## 1904 0.6549539 4.5 0.9497693 0.9043436 0.0000000
## 1905 0.6549539 4.5 0.9497693 0.9043436 0.0000000
## 1906 0.6549539 4.5 0.9497693 0.9043436 0.0000000
## 1907 0.6549539 4.5 0.9497693 0.9043436 0.0000000
## 1908 0.6549539 4.5 0.9497693 0.9043436 0.0000000
## 1909 0.6549539 4.5 0.9497693 0.9043436 0.0000000
## 1910 0.6549539 4.5 0.9497693 0.9043436 0.0000000
## 1911 0.6549539 4.5 0.9497693 0.9043436 0.0000000
## 1912 0.6549539 4.5 0.9497693 0.9043436 0.0000000
## 1913 0.6549539 4.5 0.9497693 0.9043436 0.0000000
## 1914 0.6549539 4.5 0.9497693 0.9043436 0.0000000
## 1915 0.6549539 4.5 0.9497693 0.9043436 0.0000000
## 1916 0.6549539 4.5 0.9497693 0.9043436 0.0000000
## 1917 0.6549539 4.5 0.9497693 0.9043436 0.0000000
## 1918 0.6549539 4.5 0.9497693 0.9043436 0.0000000
## 1919 0.6549539 4.5 0.9497693 0.9043436 0.0000000
## 1920 0.6549539 4.5 0.9497693 0.9043436 0.0000000
## 1921 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1922 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1923 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1924 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1925 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1926 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1927 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1928 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1929 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1930 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1931 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1932 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1933 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1934 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1935 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1936 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1937 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1938 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1939 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1940 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1941 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1942 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1943 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1944 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 1945 1.4587022 7.0 0.4647482 0.3027179 0.0000000
## 1946 1.4587022 7.0 0.4647482 0.3027179 0.0000000
## 1947 1.4587022 7.0 0.4647482 0.3027179 0.0000000
## 1948 1.4587022 7.0 0.4647482 0.3027179 0.0000000
## 1949 1.4587022 7.0 0.4647482 0.3027179 0.0000000
## 1950 1.4587022 7.0 0.4647482 0.3027179 0.0000000
## 1951 1.4587022 7.0 0.4647482 0.3027179 0.0000000
## 1952 1.4587022 7.0 0.4647482 0.3027179 0.0000000
## 1953 1.4587022 7.0 0.4647482 0.3027179 0.0000000
## 1954 1.4587022 7.0 0.4647482 0.3027179 0.0000000
## 1955 1.4587022 7.0 0.4647482 0.3027179 0.0000000
## 1956 1.4587022 7.0 0.4647482 0.3027179 0.0000000
## 1957 1.4587022 7.0 0.4647482 0.3027179 0.0000000
## 1958 1.4587022 7.0 0.4647482 0.3027179 0.0000000
## 1959 1.4587022 7.0 0.4647482 0.3027179 0.0000000
## 1960 1.4587022 7.0 0.4647482 0.3027179 0.0000000
## 1961 1.4587022 7.0 0.4647482 0.3027179 0.0000000
## 1962 1.4587022 7.0 0.4647482 0.3027179 0.0000000
## 1963 1.4587022 7.0 0.4647482 0.3027179 0.0000000
## 1964 1.4587022 7.0 0.4647482 0.3027179 0.0000000
## 1965 1.4587022 7.0 0.4647482 0.3027179 0.0000000
## 1966 1.4587022 7.0 0.4647482 0.3027179 0.0000000
## 1967 1.4587022 7.0 0.4647482 0.3027179 0.0000000
## 1968 1.4587022 7.0 0.4647482 0.3027179 0.0000000
## 1969 1.4635307 7.0 0.5222681 0.3534255 0.0000000
## 1970 1.4635307 7.0 0.5222681 0.3534255 0.0000000
## 1971 1.4635307 7.0 0.5222681 0.3534255 0.0000000
## 1972 1.4635307 7.0 0.5222681 0.3534255 0.0000000
## 1973 1.4635307 7.0 0.5222681 0.3534255 0.0000000
## 1974 1.4635307 7.0 0.5222681 0.3534255 0.0000000
## 1975 1.4635307 7.0 0.5222681 0.3534255 0.0000000
## 1976 1.4635307 7.0 0.5222681 0.3534255 0.0000000
## 1977 1.4635307 7.0 0.5222681 0.3534255 0.0000000
## 1978 1.4635307 7.0 0.5222681 0.3534255 0.0000000
## 1979 1.4635307 7.0 0.5222681 0.3534255 0.0000000
## 1980 1.4635307 7.0 0.5222681 0.3534255 0.0000000
## 1981 1.4635307 7.0 0.5222681 0.3534255 0.0000000
## 1982 1.4635307 7.0 0.5222681 0.3534255 0.0000000
## 1983 1.4635307 7.0 0.5222681 0.3534255 0.0000000
## 1984 1.4635307 7.0 0.5222681 0.3534255 0.0000000
## 1985 1.4635307 7.0 0.5222681 0.3534255 0.0000000
## 1986 1.4635307 7.0 0.5222681 0.3534255 0.0000000
## 1987 1.4635307 7.0 0.5222681 0.3534255 0.0000000
## 1988 1.4635307 7.0 0.5222681 0.3534255 0.0000000
## 1989 1.4635307 7.0 0.5222681 0.3534255 0.0000000
## 1990 1.4635307 7.0 0.5222681 0.3534255 0.0000000
## 1991 1.4635307 7.0 0.5222681 0.3534255 0.0000000
## 1992 1.4635307 7.0 0.5222681 0.3534255 0.0000000
## 1993 1.4969088 6.0 0.6928848 0.5300870 0.0000000
## 1994 1.4969088 6.0 0.6928848 0.5300870 0.0000000
## 1995 1.4969088 6.0 0.6928848 0.5300870 0.0000000
## 1996 1.4969088 6.0 0.6928848 0.5300870 0.0000000
## 1997 1.4969088 6.0 0.6928848 0.5300870 0.0000000
## 1998 1.4969088 6.0 0.6928848 0.5300870 0.0000000
## 1999 1.4969088 6.0 0.6928848 0.5300870 0.0000000
## 2000 1.4969088 6.0 0.6928848 0.5300870 0.0000000
## 2001 1.4969088 6.0 0.6928848 0.5300870 0.0000000
## 2002 1.4969088 6.0 0.6928848 0.5300870 0.0000000
## 2003 1.4969088 6.0 0.6928848 0.5300870 0.0000000
## 2004 1.4969088 6.0 0.6928848 0.5300870 0.0000000
## 2005 1.4969088 6.0 0.6928848 0.5300870 0.0000000
## 2006 1.4969088 6.0 0.6928848 0.5300870 0.0000000
## 2007 1.4969088 6.0 0.6928848 0.5300870 0.0000000
## 2008 1.4969088 6.0 0.6928848 0.5300870 0.0000000
## 2009 1.4969088 6.0 0.6928848 0.5300870 0.0000000
## 2010 1.4969088 6.0 0.6928848 0.5300870 0.0000000
## 2011 1.4969088 6.0 0.6928848 0.5300870 0.0000000
## 2012 1.4969088 6.0 0.6928848 0.5300870 0.0000000
## 2013 1.4969088 6.0 0.6928848 0.5300870 0.0000000
## 2014 1.4969088 6.0 0.6928848 0.5300870 0.0000000
## 2015 1.4969088 6.0 0.6928848 0.5300870 0.0000000
## 2016 1.4969088 6.0 0.6928848 0.5300870 0.0000000
## 2017 1.4098276 6.0 0.6760997 0.5106878 0.2500000
## 2018 1.4098276 6.0 0.6760997 0.5106878 0.2500000
## 2019 1.4098276 6.0 0.6760997 0.5106878 0.2500000
## 2020 1.4098276 6.0 0.6760997 0.5106878 0.2500000
## 2021 1.4098276 6.0 0.6760997 0.5106878 0.2500000
## 2022 1.4098276 6.0 0.6760997 0.5106878 0.2500000
## 2023 1.4098276 6.0 0.6760997 0.5106878 0.2500000
## 2024 1.4098276 6.0 0.6760997 0.5106878 0.2500000
## 2025 1.4098276 6.0 0.6760997 0.5106878 0.2500000
## 2026 1.4098276 6.0 0.6760997 0.5106878 0.2500000
## 2027 1.4098276 6.0 0.6760997 0.5106878 0.2500000
## 2028 1.4098276 6.0 0.6760997 0.5106878 0.2500000
## 2029 1.4098276 6.0 0.6760997 0.5106878 0.2500000
## 2030 1.4098276 6.0 0.6760997 0.5106878 0.2500000
## 2031 1.4098276 6.0 0.6760997 0.5106878 0.2500000
## 2032 1.4098276 6.0 0.6760997 0.5106878 0.2500000
## 2033 1.4098276 6.0 0.6760997 0.5106878 0.2500000
## 2034 1.4098276 6.0 0.6760997 0.5106878 0.2500000
## 2035 1.4098276 6.0 0.6760997 0.5106878 0.2500000
## 2036 1.4098276 6.0 0.6760997 0.5106878 0.2500000
## 2037 1.4098276 6.0 0.6760997 0.5106878 0.2500000
## 2038 1.4098276 6.0 0.6760997 0.5106878 0.2500000
## 2039 1.4098276 6.0 0.6760997 0.5106878 0.2500000
## 2040 1.4098276 6.0 0.6760997 0.5106878 0.2500000
## 2041 0.8677885 4.0 0.8623853 0.7580645 0.5000000
## 2042 0.8677885 4.0 0.8623853 0.7580645 0.5000000
## 2043 0.8677885 4.0 0.8623853 0.7580645 0.5000000
## 2044 0.8677885 4.0 0.8623853 0.7580645 0.5000000
## 2045 0.8677885 4.0 0.8623853 0.7580645 0.5000000
## 2046 0.8677885 4.0 0.8623853 0.7580645 0.5000000
## 2047 0.8677885 4.0 0.8623853 0.7580645 0.5000000
## 2048 0.8677885 4.0 0.8623853 0.7580645 0.5000000
## 2049 0.8677885 4.0 0.8623853 0.7580645 0.5000000
## 2050 0.8677885 4.0 0.8623853 0.7580645 0.5000000
## 2051 0.8677885 4.0 0.8623853 0.7580645 0.5000000
## 2052 0.8677885 4.0 0.8623853 0.7580645 0.5000000
## 2053 0.8677885 4.0 0.8623853 0.7580645 0.5000000
## 2054 0.8677885 4.0 0.8623853 0.7580645 0.5000000
## 2055 0.8677885 4.0 0.8623853 0.7580645 0.5000000
## 2056 0.8677885 4.0 0.8623853 0.7580645 0.5000000
## 2057 0.8677885 4.0 0.8623853 0.7580645 0.5000000
## 2058 0.8677885 4.0 0.8623853 0.7580645 0.5000000
## 2059 0.8677885 4.0 0.8623853 0.7580645 0.5000000
## 2060 0.8677885 4.0 0.8623853 0.7580645 0.5000000
## 2061 0.8677885 4.0 0.8623853 0.7580645 0.5000000
## 2062 0.8677885 4.0 0.8623853 0.7580645 0.5000000
## 2063 0.8677885 4.0 0.8623853 0.7580645 0.5000000
## 2064 0.8677885 4.0 0.8623853 0.7580645 0.5000000
## 2065 1.0349319 5.0 0.8940736 0.8084387 0.0000000
## 2066 1.0349319 5.0 0.8940736 0.8084387 0.0000000
## 2067 1.0349319 5.0 0.8940736 0.8084387 0.0000000
## 2068 1.0349319 5.0 0.8940736 0.8084387 0.0000000
## 2069 1.0349319 5.0 0.8940736 0.8084387 0.0000000
## 2070 1.0349319 5.0 0.8940736 0.8084387 0.0000000
## 2071 1.0349319 5.0 0.8940736 0.8084387 0.0000000
## 2072 1.0349319 5.0 0.8940736 0.8084387 0.0000000
## 2073 1.0349319 5.0 0.8940736 0.8084387 0.0000000
## 2074 1.0349319 5.0 0.8940736 0.8084387 0.0000000
## 2075 1.0349319 5.0 0.8940736 0.8084387 0.0000000
## 2076 1.0349319 5.0 0.8940736 0.8084387 0.0000000
## 2077 1.0349319 5.0 0.8940736 0.8084387 0.0000000
## 2078 1.0349319 5.0 0.8940736 0.8084387 0.0000000
## 2079 1.0349319 5.0 0.8940736 0.8084387 0.0000000
## 2080 1.0349319 5.0 0.8940736 0.8084387 0.0000000
## 2081 1.0349319 5.0 0.8940736 0.8084387 0.0000000
## 2082 1.0349319 5.0 0.8940736 0.8084387 0.0000000
## 2083 1.0349319 5.0 0.8940736 0.8084387 0.0000000
## 2084 1.0349319 5.0 0.8940736 0.8084387 0.0000000
## 2085 1.0349319 5.0 0.8940736 0.8084387 0.0000000
## 2086 1.0349319 5.0 0.8940736 0.8084387 0.0000000
## 2087 1.0349319 5.0 0.8940736 0.8084387 0.0000000
## 2088 1.0349319 5.0 0.8940736 0.8084387 0.0000000
## 2089 0.8886913 5.5 0.8939828 0.8082902 0.5000000
## 2090 0.8886913 5.5 0.8939828 0.8082902 0.5000000
## 2091 0.8886913 5.5 0.8939828 0.8082902 0.5000000
## 2092 0.8886913 5.5 0.8939828 0.8082902 0.5000000
## 2093 0.8886913 5.5 0.8939828 0.8082902 0.5000000
## 2094 0.8886913 5.5 0.8939828 0.8082902 0.5000000
## 2095 0.8886913 5.5 0.8939828 0.8082902 0.5000000
## 2096 0.8886913 5.5 0.8939828 0.8082902 0.5000000
## 2097 0.8886913 5.5 0.8939828 0.8082902 0.5000000
## 2098 0.8886913 5.5 0.8939828 0.8082902 0.5000000
## 2099 0.8886913 5.5 0.8939828 0.8082902 0.5000000
## 2100 0.8886913 5.5 0.8939828 0.8082902 0.5000000
## 2101 0.8886913 5.5 0.8939828 0.8082902 0.5000000
## 2102 0.8886913 5.5 0.8939828 0.8082902 0.5000000
## 2103 0.8886913 5.5 0.8939828 0.8082902 0.5000000
## 2104 0.8886913 5.5 0.8939828 0.8082902 0.5000000
## 2105 0.8886913 5.5 0.8939828 0.8082902 0.5000000
## 2106 0.8886913 5.5 0.8939828 0.8082902 0.5000000
## 2107 0.8886913 5.5 0.8939828 0.8082902 0.5000000
## 2108 0.8886913 5.5 0.8939828 0.8082902 0.5000000
## 2109 0.8886913 5.5 0.8939828 0.8082902 0.5000000
## 2110 0.8886913 5.5 0.8939828 0.8082902 0.5000000
## 2111 0.8886913 5.5 0.8939828 0.8082902 0.5000000
## 2112 0.8886913 5.5 0.8939828 0.8082902 0.5000000
## 2113 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2114 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2115 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2116 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2117 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2118 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2119 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2120 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2121 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2122 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2123 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2124 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2125 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2126 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2127 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2128 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2129 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2130 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2131 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2132 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2133 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2134 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2135 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2136 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2137 1.6928054 7.5 0.5989357 0.4274862 0.1666667
## 2138 1.6928054 7.5 0.5989357 0.4274862 0.1666667
## 2139 1.6928054 7.5 0.5989357 0.4274862 0.1666667
## 2140 1.6928054 7.5 0.5989357 0.4274862 0.1666667
## 2141 1.6928054 7.5 0.5989357 0.4274862 0.1666667
## 2142 1.6928054 7.5 0.5989357 0.4274862 0.1666667
## 2143 1.6928054 7.5 0.5989357 0.4274862 0.1666667
## 2144 1.6928054 7.5 0.5989357 0.4274862 0.1666667
## 2145 1.6928054 7.5 0.5989357 0.4274862 0.1666667
## 2146 1.6928054 7.5 0.5989357 0.4274862 0.1666667
## 2147 1.6928054 7.5 0.5989357 0.4274862 0.1666667
## 2148 1.6928054 7.5 0.5989357 0.4274862 0.1666667
## 2149 1.6928054 7.5 0.5989357 0.4274862 0.1666667
## 2150 1.6928054 7.5 0.5989357 0.4274862 0.1666667
## 2151 1.6928054 7.5 0.5989357 0.4274862 0.1666667
## 2152 1.6928054 7.5 0.5989357 0.4274862 0.1666667
## 2153 1.6928054 7.5 0.5989357 0.4274862 0.1666667
## 2154 1.6928054 7.5 0.5989357 0.4274862 0.1666667
## 2155 1.6928054 7.5 0.5989357 0.4274862 0.1666667
## 2156 1.6928054 7.5 0.5989357 0.4274862 0.1666667
## 2157 1.6928054 7.5 0.5989357 0.4274862 0.1666667
## 2158 1.6928054 7.5 0.5989357 0.4274862 0.1666667
## 2159 1.6928054 7.5 0.5989357 0.4274862 0.1666667
## 2160 1.6928054 7.5 0.5989357 0.4274862 0.1666667
## 2161 1.3904874 5.5 0.2931267 0.1717331 0.0000000
## 2162 1.3904874 5.5 0.2931267 0.1717331 0.0000000
## 2163 1.3904874 5.5 0.2931267 0.1717331 0.0000000
## 2164 1.3904874 5.5 0.2931267 0.1717331 0.0000000
## 2165 1.3904874 5.5 0.2931267 0.1717331 0.0000000
## 2166 1.3904874 5.5 0.2931267 0.1717331 0.0000000
## 2167 1.3904874 5.5 0.2931267 0.1717331 0.0000000
## 2168 1.3904874 5.5 0.2931267 0.1717331 0.0000000
## 2169 1.3904874 5.5 0.2931267 0.1717331 0.0000000
## 2170 1.3904874 5.5 0.2931267 0.1717331 0.0000000
## 2171 1.3904874 5.5 0.2931267 0.1717331 0.0000000
## 2172 1.3904874 5.5 0.2931267 0.1717331 0.0000000
## 2173 1.3904874 5.5 0.2931267 0.1717331 0.0000000
## 2174 1.3904874 5.5 0.2931267 0.1717331 0.0000000
## 2175 1.3904874 5.5 0.2931267 0.1717331 0.0000000
## 2176 1.3904874 5.5 0.2931267 0.1717331 0.0000000
## 2177 1.3904874 5.5 0.2931267 0.1717331 0.0000000
## 2178 1.3904874 5.5 0.2931267 0.1717331 0.0000000
## 2179 1.3904874 5.5 0.2931267 0.1717331 0.0000000
## 2180 1.3904874 5.5 0.2931267 0.1717331 0.0000000
## 2181 1.3904874 5.5 0.2931267 0.1717331 0.0000000
## 2182 1.3904874 5.5 0.2931267 0.1717331 0.0000000
## 2183 1.3904874 5.5 0.2931267 0.1717331 0.0000000
## 2184 1.3904874 5.5 0.2931267 0.1717331 0.0000000
## 2185 1.4161738 6.0 0.5734298 0.4019640 0.0000000
## 2186 1.4161738 6.0 0.5734298 0.4019640 0.0000000
## 2187 1.4161738 6.0 0.5734298 0.4019640 0.0000000
## 2188 1.4161738 6.0 0.5734298 0.4019640 0.0000000
## 2189 1.4161738 6.0 0.5734298 0.4019640 0.0000000
## 2190 1.4161738 6.0 0.5734298 0.4019640 0.0000000
## 2191 1.4161738 6.0 0.5734298 0.4019640 0.0000000
## 2192 1.4161738 6.0 0.5734298 0.4019640 0.0000000
## 2193 1.4161738 6.0 0.5734298 0.4019640 0.0000000
## 2194 1.4161738 6.0 0.5734298 0.4019640 0.0000000
## 2195 1.4161738 6.0 0.5734298 0.4019640 0.0000000
## 2196 1.4161738 6.0 0.5734298 0.4019640 0.0000000
## 2197 1.4161738 6.0 0.5734298 0.4019640 0.0000000
## 2198 1.4161738 6.0 0.5734298 0.4019640 0.0000000
## 2199 1.4161738 6.0 0.5734298 0.4019640 0.0000000
## 2200 1.4161738 6.0 0.5734298 0.4019640 0.0000000
## 2201 1.4161738 6.0 0.5734298 0.4019640 0.0000000
## 2202 1.4161738 6.0 0.5734298 0.4019640 0.0000000
## 2203 1.4161738 6.0 0.5734298 0.4019640 0.0000000
## 2204 1.4161738 6.0 0.5734298 0.4019640 0.0000000
## 2205 1.4161738 6.0 0.5734298 0.4019640 0.0000000
## 2206 1.4161738 6.0 0.5734298 0.4019640 0.0000000
## 2207 1.4161738 6.0 0.5734298 0.4019640 0.0000000
## 2208 1.4161738 6.0 0.5734298 0.4019640 0.0000000
## 2209 1.1830432 4.5 0.5461783 0.3756846 0.2500000
## 2210 1.1830432 4.5 0.5461783 0.3756846 0.2500000
## 2211 1.1830432 4.5 0.5461783 0.3756846 0.2500000
## 2212 1.1830432 4.5 0.5461783 0.3756846 0.2500000
## 2213 1.1830432 4.5 0.5461783 0.3756846 0.2500000
## 2214 1.1830432 4.5 0.5461783 0.3756846 0.2500000
## 2215 1.1830432 4.5 0.5461783 0.3756846 0.2500000
## 2216 1.1830432 4.5 0.5461783 0.3756846 0.2500000
## 2217 1.1830432 4.5 0.5461783 0.3756846 0.2500000
## 2218 1.1830432 4.5 0.5461783 0.3756846 0.2500000
## 2219 1.1830432 4.5 0.5461783 0.3756846 0.2500000
## 2220 1.1830432 4.5 0.5461783 0.3756846 0.2500000
## 2221 1.1830432 4.5 0.5461783 0.3756846 0.2500000
## 2222 1.1830432 4.5 0.5461783 0.3756846 0.2500000
## 2223 1.1830432 4.5 0.5461783 0.3756846 0.2500000
## 2224 1.1830432 4.5 0.5461783 0.3756846 0.2500000
## 2225 1.1830432 4.5 0.5461783 0.3756846 0.2500000
## 2226 1.1830432 4.5 0.5461783 0.3756846 0.2500000
## 2227 1.1830432 4.5 0.5461783 0.3756846 0.2500000
## 2228 1.1830432 4.5 0.5461783 0.3756846 0.2500000
## 2229 1.1830432 4.5 0.5461783 0.3756846 0.2500000
## 2230 1.1830432 4.5 0.5461783 0.3756846 0.2500000
## 2231 1.1830432 4.5 0.5461783 0.3756846 0.2500000
## 2232 1.1830432 4.5 0.5461783 0.3756846 0.2500000
## 2233 1.0779045 5.0 0.8424721 0.7278202 0.0000000
## 2234 1.0779045 5.0 0.8424721 0.7278202 0.0000000
## 2235 1.0779045 5.0 0.8424721 0.7278202 0.0000000
## 2236 1.0779045 5.0 0.8424721 0.7278202 0.0000000
## 2237 1.0779045 5.0 0.8424721 0.7278202 0.0000000
## 2238 1.0779045 5.0 0.8424721 0.7278202 0.0000000
## 2239 1.0779045 5.0 0.8424721 0.7278202 0.0000000
## 2240 1.0779045 5.0 0.8424721 0.7278202 0.0000000
## 2241 1.0779045 5.0 0.8424721 0.7278202 0.0000000
## 2242 1.0779045 5.0 0.8424721 0.7278202 0.0000000
## 2243 1.0779045 5.0 0.8424721 0.7278202 0.0000000
## 2244 1.0779045 5.0 0.8424721 0.7278202 0.0000000
## 2245 1.0779045 5.0 0.8424721 0.7278202 0.0000000
## 2246 1.0779045 5.0 0.8424721 0.7278202 0.0000000
## 2247 1.0779045 5.0 0.8424721 0.7278202 0.0000000
## 2248 1.0779045 5.0 0.8424721 0.7278202 0.0000000
## 2249 1.0779045 5.0 0.8424721 0.7278202 0.0000000
## 2250 1.0779045 5.0 0.8424721 0.7278202 0.0000000
## 2251 1.0779045 5.0 0.8424721 0.7278202 0.0000000
## 2252 1.0779045 5.0 0.8424721 0.7278202 0.0000000
## 2253 1.0779045 5.0 0.8424721 0.7278202 0.0000000
## 2254 1.0779045 5.0 0.8424721 0.7278202 0.0000000
## 2255 1.0779045 5.0 0.8424721 0.7278202 0.0000000
## 2256 1.0779045 5.0 0.8424721 0.7278202 0.0000000
## 2257 1.1343318 5.0 0.9128705 0.8397072 0.0000000
## 2258 1.1343318 5.0 0.9128705 0.8397072 0.0000000
## 2259 1.1343318 5.0 0.9128705 0.8397072 0.0000000
## 2260 1.1343318 5.0 0.9128705 0.8397072 0.0000000
## 2261 1.1343318 5.0 0.9128705 0.8397072 0.0000000
## 2262 1.1343318 5.0 0.9128705 0.8397072 0.0000000
## 2263 1.1343318 5.0 0.9128705 0.8397072 0.0000000
## 2264 1.1343318 5.0 0.9128705 0.8397072 0.0000000
## 2265 1.1343318 5.0 0.9128705 0.8397072 0.0000000
## 2266 1.1343318 5.0 0.9128705 0.8397072 0.0000000
## 2267 1.1343318 5.0 0.9128705 0.8397072 0.0000000
## 2268 1.1343318 5.0 0.9128705 0.8397072 0.0000000
## 2269 1.1343318 5.0 0.9128705 0.8397072 0.0000000
## 2270 1.1343318 5.0 0.9128705 0.8397072 0.0000000
## 2271 1.1343318 5.0 0.9128705 0.8397072 0.0000000
## 2272 1.1343318 5.0 0.9128705 0.8397072 0.0000000
## 2273 1.1343318 5.0 0.9128705 0.8397072 0.0000000
## 2274 1.1343318 5.0 0.9128705 0.8397072 0.0000000
## 2275 1.1343318 5.0 0.9128705 0.8397072 0.0000000
## 2276 1.1343318 5.0 0.9128705 0.8397072 0.0000000
## 2277 1.1343318 5.0 0.9128705 0.8397072 0.0000000
## 2278 1.1343318 5.0 0.9128705 0.8397072 0.0000000
## 2279 1.1343318 5.0 0.9128705 0.8397072 0.0000000
## 2280 1.1343318 5.0 0.9128705 0.8397072 0.0000000
## 2281 0.9541375 4.5 0.8634686 0.7597403 0.5000000
## 2282 0.9541375 4.5 0.8634686 0.7597403 0.5000000
## 2283 0.9541375 4.5 0.8634686 0.7597403 0.5000000
## 2284 0.9541375 4.5 0.8634686 0.7597403 0.5000000
## 2285 0.9541375 4.5 0.8634686 0.7597403 0.5000000
## 2286 0.9541375 4.5 0.8634686 0.7597403 0.5000000
## 2287 0.9541375 4.5 0.8634686 0.7597403 0.5000000
## 2288 0.9541375 4.5 0.8634686 0.7597403 0.5000000
## 2289 0.9541375 4.5 0.8634686 0.7597403 0.5000000
## 2290 0.9541375 4.5 0.8634686 0.7597403 0.5000000
## 2291 0.9541375 4.5 0.8634686 0.7597403 0.5000000
## 2292 0.9541375 4.5 0.8634686 0.7597403 0.5000000
## 2293 0.9541375 4.5 0.8634686 0.7597403 0.5000000
## 2294 0.9541375 4.5 0.8634686 0.7597403 0.5000000
## 2295 0.9541375 4.5 0.8634686 0.7597403 0.5000000
## 2296 0.9541375 4.5 0.8634686 0.7597403 0.5000000
## 2297 0.9541375 4.5 0.8634686 0.7597403 0.5000000
## 2298 0.9541375 4.5 0.8634686 0.7597403 0.5000000
## 2299 0.9541375 4.5 0.8634686 0.7597403 0.5000000
## 2300 0.9541375 4.5 0.8634686 0.7597403 0.5000000
## 2301 0.9541375 4.5 0.8634686 0.7597403 0.5000000
## 2302 0.9541375 4.5 0.8634686 0.7597403 0.5000000
## 2303 0.9541375 4.5 0.8634686 0.7597403 0.5000000
## 2304 0.9541375 4.5 0.8634686 0.7597403 0.5000000
## 2305 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2306 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2307 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2308 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2309 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2310 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2311 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2312 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2313 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2314 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2315 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2316 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2317 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2318 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2319 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2320 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2321 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2322 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2323 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2324 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2325 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2326 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2327 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2328 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2329 1.5937474 7.5 0.3858672 0.2390555 0.1666667
## 2330 1.5937474 7.5 0.3858672 0.2390555 0.1666667
## 2331 1.5937474 7.5 0.3858672 0.2390555 0.1666667
## 2332 1.5937474 7.5 0.3858672 0.2390555 0.1666667
## 2333 1.5937474 7.5 0.3858672 0.2390555 0.1666667
## 2334 1.5937474 7.5 0.3858672 0.2390555 0.1666667
## 2335 1.5937474 7.5 0.3858672 0.2390555 0.1666667
## 2336 1.5937474 7.5 0.3858672 0.2390555 0.1666667
## 2337 1.5937474 7.5 0.3858672 0.2390555 0.1666667
## 2338 1.5937474 7.5 0.3858672 0.2390555 0.1666667
## 2339 1.5937474 7.5 0.3858672 0.2390555 0.1666667
## 2340 1.5937474 7.5 0.3858672 0.2390555 0.1666667
## 2341 1.5937474 7.5 0.3858672 0.2390555 0.1666667
## 2342 1.5937474 7.5 0.3858672 0.2390555 0.1666667
## 2343 1.5937474 7.5 0.3858672 0.2390555 0.1666667
## 2344 1.5937474 7.5 0.3858672 0.2390555 0.1666667
## 2345 1.5937474 7.5 0.3858672 0.2390555 0.1666667
## 2346 1.5937474 7.5 0.3858672 0.2390555 0.1666667
## 2347 1.5937474 7.5 0.3858672 0.2390555 0.1666667
## 2348 1.5937474 7.5 0.3858672 0.2390555 0.1666667
## 2349 1.5937474 7.5 0.3858672 0.2390555 0.1666667
## 2350 1.5937474 7.5 0.3858672 0.2390555 0.1666667
## 2351 1.5937474 7.5 0.3858672 0.2390555 0.1666667
## 2352 1.5937474 7.5 0.3858672 0.2390555 0.1666667
## 2353 1.6035169 7.5 0.3980177 0.2484533 0.0000000
## 2354 1.6035169 7.5 0.3980177 0.2484533 0.0000000
## 2355 1.6035169 7.5 0.3980177 0.2484533 0.0000000
## 2356 1.6035169 7.5 0.3980177 0.2484533 0.0000000
## 2357 1.6035169 7.5 0.3980177 0.2484533 0.0000000
## 2358 1.6035169 7.5 0.3980177 0.2484533 0.0000000
## 2359 1.6035169 7.5 0.3980177 0.2484533 0.0000000
## 2360 1.6035169 7.5 0.3980177 0.2484533 0.0000000
## 2361 1.6035169 7.5 0.3980177 0.2484533 0.0000000
## 2362 1.6035169 7.5 0.3980177 0.2484533 0.0000000
## 2363 1.6035169 7.5 0.3980177 0.2484533 0.0000000
## 2364 1.6035169 7.5 0.3980177 0.2484533 0.0000000
## 2365 1.6035169 7.5 0.3980177 0.2484533 0.0000000
## 2366 1.6035169 7.5 0.3980177 0.2484533 0.0000000
## 2367 1.6035169 7.5 0.3980177 0.2484533 0.0000000
## 2368 1.6035169 7.5 0.3980177 0.2484533 0.0000000
## 2369 1.6035169 7.5 0.3980177 0.2484533 0.0000000
## 2370 1.6035169 7.5 0.3980177 0.2484533 0.0000000
## 2371 1.6035169 7.5 0.3980177 0.2484533 0.0000000
## 2372 1.6035169 7.5 0.3980177 0.2484533 0.0000000
## 2373 1.6035169 7.5 0.3980177 0.2484533 0.0000000
## 2374 1.6035169 7.5 0.3980177 0.2484533 0.0000000
## 2375 1.6035169 7.5 0.3980177 0.2484533 0.0000000
## 2376 1.6035169 7.5 0.3980177 0.2484533 0.0000000
## 2377 1.5172828 6.5 0.6578032 0.4900944 0.0000000
## 2378 1.5172828 6.5 0.6578032 0.4900944 0.0000000
## 2379 1.5172828 6.5 0.6578032 0.4900944 0.0000000
## 2380 1.5172828 6.5 0.6578032 0.4900944 0.0000000
## 2381 1.5172828 6.5 0.6578032 0.4900944 0.0000000
## 2382 1.5172828 6.5 0.6578032 0.4900944 0.0000000
## 2383 1.5172828 6.5 0.6578032 0.4900944 0.0000000
## 2384 1.5172828 6.5 0.6578032 0.4900944 0.0000000
## 2385 1.5172828 6.5 0.6578032 0.4900944 0.0000000
## 2386 1.5172828 6.5 0.6578032 0.4900944 0.0000000
## 2387 1.5172828 6.5 0.6578032 0.4900944 0.0000000
## 2388 1.5172828 6.5 0.6578032 0.4900944 0.0000000
## 2389 1.5172828 6.5 0.6578032 0.4900944 0.0000000
## 2390 1.5172828 6.5 0.6578032 0.4900944 0.0000000
## 2391 1.5172828 6.5 0.6578032 0.4900944 0.0000000
## 2392 1.5172828 6.5 0.6578032 0.4900944 0.0000000
## 2393 1.5172828 6.5 0.6578032 0.4900944 0.0000000
## 2394 1.5172828 6.5 0.6578032 0.4900944 0.0000000
## 2395 1.5172828 6.5 0.6578032 0.4900944 0.0000000
## 2396 1.5172828 6.5 0.6578032 0.4900944 0.0000000
## 2397 1.5172828 6.5 0.6578032 0.4900944 0.0000000
## 2398 1.5172828 6.5 0.6578032 0.4900944 0.0000000
## 2399 1.5172828 6.5 0.6578032 0.4900944 0.0000000
## 2400 1.5172828 6.5 0.6578032 0.4900944 0.0000000
## 2401 1.3203870 5.5 0.5871069 0.4155353 0.2500000
## 2402 1.3203870 5.5 0.5871069 0.4155353 0.2500000
## 2403 1.3203870 5.5 0.5871069 0.4155353 0.2500000
## 2404 1.3203870 5.5 0.5871069 0.4155353 0.2500000
## 2405 1.3203870 5.5 0.5871069 0.4155353 0.2500000
## 2406 1.3203870 5.5 0.5871069 0.4155353 0.2500000
## 2407 1.3203870 5.5 0.5871069 0.4155353 0.2500000
## 2408 1.3203870 5.5 0.5871069 0.4155353 0.2500000
## 2409 1.3203870 5.5 0.5871069 0.4155353 0.2500000
## 2410 1.3203870 5.5 0.5871069 0.4155353 0.2500000
## 2411 1.3203870 5.5 0.5871069 0.4155353 0.2500000
## 2412 1.3203870 5.5 0.5871069 0.4155353 0.2500000
## 2413 1.3203870 5.5 0.5871069 0.4155353 0.2500000
## 2414 1.3203870 5.5 0.5871069 0.4155353 0.2500000
## 2415 1.3203870 5.5 0.5871069 0.4155353 0.2500000
## 2416 1.3203870 5.5 0.5871069 0.4155353 0.2500000
## 2417 1.3203870 5.5 0.5871069 0.4155353 0.2500000
## 2418 1.3203870 5.5 0.5871069 0.4155353 0.2500000
## 2419 1.3203870 5.5 0.5871069 0.4155353 0.2500000
## 2420 1.3203870 5.5 0.5871069 0.4155353 0.2500000
## 2421 1.3203870 5.5 0.5871069 0.4155353 0.2500000
## 2422 1.3203870 5.5 0.5871069 0.4155353 0.2500000
## 2423 1.3203870 5.5 0.5871069 0.4155353 0.2500000
## 2424 1.3203870 5.5 0.5871069 0.4155353 0.2500000
## 2425 0.9457610 4.0 0.8813489 0.7878675 0.5000000
## 2426 0.9457610 4.0 0.8813489 0.7878675 0.5000000
## 2427 0.9457610 4.0 0.8813489 0.7878675 0.5000000
## 2428 0.9457610 4.0 0.8813489 0.7878675 0.5000000
## 2429 0.9457610 4.0 0.8813489 0.7878675 0.5000000
## 2430 0.9457610 4.0 0.8813489 0.7878675 0.5000000
## 2431 0.9457610 4.0 0.8813489 0.7878675 0.5000000
## 2432 0.9457610 4.0 0.8813489 0.7878675 0.5000000
## 2433 0.9457610 4.0 0.8813489 0.7878675 0.5000000
## 2434 0.9457610 4.0 0.8813489 0.7878675 0.5000000
## 2435 0.9457610 4.0 0.8813489 0.7878675 0.5000000
## 2436 0.9457610 4.0 0.8813489 0.7878675 0.5000000
## 2437 0.9457610 4.0 0.8813489 0.7878675 0.5000000
## 2438 0.9457610 4.0 0.8813489 0.7878675 0.5000000
## 2439 0.9457610 4.0 0.8813489 0.7878675 0.5000000
## 2440 0.9457610 4.0 0.8813489 0.7878675 0.5000000
## 2441 0.9457610 4.0 0.8813489 0.7878675 0.5000000
## 2442 0.9457610 4.0 0.8813489 0.7878675 0.5000000
## 2443 0.9457610 4.0 0.8813489 0.7878675 0.5000000
## 2444 0.9457610 4.0 0.8813489 0.7878675 0.5000000
## 2445 0.9457610 4.0 0.8813489 0.7878675 0.5000000
## 2446 0.9457610 4.0 0.8813489 0.7878675 0.5000000
## 2447 0.9457610 4.0 0.8813489 0.7878675 0.5000000
## 2448 0.9457610 4.0 0.8813489 0.7878675 0.5000000
## 2449 1.0476403 5.5 0.8832972 0.7909868 0.0000000
## 2450 1.0476403 5.5 0.8832972 0.7909868 0.0000000
## 2451 1.0476403 5.5 0.8832972 0.7909868 0.0000000
## 2452 1.0476403 5.5 0.8832972 0.7909868 0.0000000
## 2453 1.0476403 5.5 0.8832972 0.7909868 0.0000000
## 2454 1.0476403 5.5 0.8832972 0.7909868 0.0000000
## 2455 1.0476403 5.5 0.8832972 0.7909868 0.0000000
## 2456 1.0476403 5.5 0.8832972 0.7909868 0.0000000
## 2457 1.0476403 5.5 0.8832972 0.7909868 0.0000000
## 2458 1.0476403 5.5 0.8832972 0.7909868 0.0000000
## 2459 1.0476403 5.5 0.8832972 0.7909868 0.0000000
## 2460 1.0476403 5.5 0.8832972 0.7909868 0.0000000
## 2461 1.0476403 5.5 0.8832972 0.7909868 0.0000000
## 2462 1.0476403 5.5 0.8832972 0.7909868 0.0000000
## 2463 1.0476403 5.5 0.8832972 0.7909868 0.0000000
## 2464 1.0476403 5.5 0.8832972 0.7909868 0.0000000
## 2465 1.0476403 5.5 0.8832972 0.7909868 0.0000000
## 2466 1.0476403 5.5 0.8832972 0.7909868 0.0000000
## 2467 1.0476403 5.5 0.8832972 0.7909868 0.0000000
## 2468 1.0476403 5.5 0.8832972 0.7909868 0.0000000
## 2469 1.0476403 5.5 0.8832972 0.7909868 0.0000000
## 2470 1.0476403 5.5 0.8832972 0.7909868 0.0000000
## 2471 1.0476403 5.5 0.8832972 0.7909868 0.0000000
## 2472 1.0476403 5.5 0.8832972 0.7909868 0.0000000
## 2473 0.8264735 4.5 0.9161354 0.8452490 0.5000000
## 2474 0.8264735 4.5 0.9161354 0.8452490 0.5000000
## 2475 0.8264735 4.5 0.9161354 0.8452490 0.5000000
## 2476 0.8264735 4.5 0.9161354 0.8452490 0.5000000
## 2477 0.8264735 4.5 0.9161354 0.8452490 0.5000000
## 2478 0.8264735 4.5 0.9161354 0.8452490 0.5000000
## 2479 0.8264735 4.5 0.9161354 0.8452490 0.5000000
## 2480 0.8264735 4.5 0.9161354 0.8452490 0.5000000
## 2481 0.8264735 4.5 0.9161354 0.8452490 0.5000000
## 2482 0.8264735 4.5 0.9161354 0.8452490 0.5000000
## 2483 0.8264735 4.5 0.9161354 0.8452490 0.5000000
## 2484 0.8264735 4.5 0.9161354 0.8452490 0.5000000
## 2485 0.8264735 4.5 0.9161354 0.8452490 0.5000000
## 2486 0.8264735 4.5 0.9161354 0.8452490 0.5000000
## 2487 0.8264735 4.5 0.9161354 0.8452490 0.5000000
## 2488 0.8264735 4.5 0.9161354 0.8452490 0.5000000
## 2489 0.8264735 4.5 0.9161354 0.8452490 0.5000000
## 2490 0.8264735 4.5 0.9161354 0.8452490 0.5000000
## 2491 0.8264735 4.5 0.9161354 0.8452490 0.5000000
## 2492 0.8264735 4.5 0.9161354 0.8452490 0.5000000
## 2493 0.8264735 4.5 0.9161354 0.8452490 0.5000000
## 2494 0.8264735 4.5 0.9161354 0.8452490 0.5000000
## 2495 0.8264735 4.5 0.9161354 0.8452490 0.5000000
## 2496 0.8264735 4.5 0.9161354 0.8452490 0.5000000
## 2497 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2498 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2499 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2500 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2501 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2502 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2503 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2504 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2505 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2506 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2507 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2508 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2509 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2510 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2511 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2512 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2513 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2514 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2515 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2516 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2517 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2518 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2519 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2520 2.0784670 11.0 0.0000000 0.0000000 0.0000000
## 2521 1.4908950 6.5 0.4258033 0.2704892 0.0000000
## 2522 1.4908950 6.5 0.4258033 0.2704892 0.0000000
## 2523 1.4908950 6.5 0.4258033 0.2704892 0.0000000
## 2524 1.4908950 6.5 0.4258033 0.2704892 0.0000000
## 2525 1.4908950 6.5 0.4258033 0.2704892 0.0000000
## 2526 1.4908950 6.5 0.4258033 0.2704892 0.0000000
## 2527 1.4908950 6.5 0.4258033 0.2704892 0.0000000
## 2528 1.4908950 6.5 0.4258033 0.2704892 0.0000000
## 2529 1.4908950 6.5 0.4258033 0.2704892 0.0000000
## 2530 1.4908950 6.5 0.4258033 0.2704892 0.0000000
## 2531 1.4908950 6.5 0.4258033 0.2704892 0.0000000
## 2532 1.4908950 6.5 0.4258033 0.2704892 0.0000000
## 2533 1.4908950 6.5 0.4258033 0.2704892 0.0000000
## 2534 1.4908950 6.5 0.4258033 0.2704892 0.0000000
## 2535 1.4908950 6.5 0.4258033 0.2704892 0.0000000
## 2536 1.4908950 6.5 0.4258033 0.2704892 0.0000000
## 2537 1.4908950 6.5 0.4258033 0.2704892 0.0000000
## 2538 1.4908950 6.5 0.4258033 0.2704892 0.0000000
## 2539 1.4908950 6.5 0.4258033 0.2704892 0.0000000
## 2540 1.4908950 6.5 0.4258033 0.2704892 0.0000000
## 2541 1.4908950 6.5 0.4258033 0.2704892 0.0000000
## 2542 1.4908950 6.5 0.4258033 0.2704892 0.0000000
## 2543 1.4908950 6.5 0.4258033 0.2704892 0.0000000
## 2544 1.4908950 6.5 0.4258033 0.2704892 0.0000000
## 2545 1.4369842 7.0 0.5152690 0.3470454 0.0000000
## 2546 1.4369842 7.0 0.5152690 0.3470454 0.0000000
## 2547 1.4369842 7.0 0.5152690 0.3470454 0.0000000
## 2548 1.4369842 7.0 0.5152690 0.3470454 0.0000000
## 2549 1.4369842 7.0 0.5152690 0.3470454 0.0000000
## 2550 1.4369842 7.0 0.5152690 0.3470454 0.0000000
## 2551 1.4369842 7.0 0.5152690 0.3470454 0.0000000
## 2552 1.4369842 7.0 0.5152690 0.3470454 0.0000000
## 2553 1.4369842 7.0 0.5152690 0.3470454 0.0000000
## 2554 1.4369842 7.0 0.5152690 0.3470454 0.0000000
## 2555 1.4369842 7.0 0.5152690 0.3470454 0.0000000
## 2556 1.4369842 7.0 0.5152690 0.3470454 0.0000000
## 2557 1.4369842 7.0 0.5152690 0.3470454 0.0000000
## 2558 1.4369842 7.0 0.5152690 0.3470454 0.0000000
## 2559 1.4369842 7.0 0.5152690 0.3470454 0.0000000
## 2560 1.4369842 7.0 0.5152690 0.3470454 0.0000000
## 2561 1.4369842 7.0 0.5152690 0.3470454 0.0000000
## 2562 1.4369842 7.0 0.5152690 0.3470454 0.0000000
## 2563 1.4369842 7.0 0.5152690 0.3470454 0.0000000
## 2564 1.4369842 7.0 0.5152690 0.3470454 0.0000000
## 2565 1.4369842 7.0 0.5152690 0.3470454 0.0000000
## 2566 1.4369842 7.0 0.5152690 0.3470454 0.0000000
## 2567 1.4369842 7.0 0.5152690 0.3470454 0.0000000
## 2568 1.4369842 7.0 0.5152690 0.3470454 0.0000000
## 2569 1.1590750 5.0 0.3094595 0.1830536 0.2500000
## 2570 1.1590750 5.0 0.3094595 0.1830536 0.2500000
## 2571 1.1590750 5.0 0.3094595 0.1830536 0.2500000
## 2572 1.1590750 5.0 0.3094595 0.1830536 0.2500000
## 2573 1.1590750 5.0 0.3094595 0.1830536 0.2500000
## 2574 1.1590750 5.0 0.3094595 0.1830536 0.2500000
## 2575 1.1590750 5.0 0.3094595 0.1830536 0.2500000
## 2576 1.1590750 5.0 0.3094595 0.1830536 0.2500000
## 2577 1.1590750 5.0 0.3094595 0.1830536 0.2500000
## 2578 1.1590750 5.0 0.3094595 0.1830536 0.2500000
## 2579 1.1590750 5.0 0.3094595 0.1830536 0.2500000
## 2580 1.1590750 5.0 0.3094595 0.1830536 0.2500000
## 2581 1.1590750 5.0 0.3094595 0.1830536 0.2500000
## 2582 1.1590750 5.0 0.3094595 0.1830536 0.2500000
## 2583 1.1590750 5.0 0.3094595 0.1830536 0.2500000
## 2584 1.1590750 5.0 0.3094595 0.1830536 0.2500000
## 2585 1.1590750 5.0 0.3094595 0.1830536 0.2500000
## 2586 1.1590750 5.0 0.3094595 0.1830536 0.2500000
## 2587 1.1590750 5.0 0.3094595 0.1830536 0.2500000
## 2588 1.1590750 5.0 0.3094595 0.1830536 0.2500000
## 2589 1.1590750 5.0 0.3094595 0.1830536 0.2500000
## 2590 1.1590750 5.0 0.3094595 0.1830536 0.2500000
## 2591 1.1590750 5.0 0.3094595 0.1830536 0.2500000
## 2592 1.1590750 5.0 0.3094595 0.1830536 0.2500000
## 2593 1.1787010 5.0 0.5881557 0.4165868 0.2500000
## 2594 1.1787010 5.0 0.5881557 0.4165868 0.2500000
## 2595 1.1787010 5.0 0.5881557 0.4165868 0.2500000
## 2596 1.1787010 5.0 0.5881557 0.4165868 0.2500000
## 2597 1.1787010 5.0 0.5881557 0.4165868 0.2500000
## 2598 1.1787010 5.0 0.5881557 0.4165868 0.2500000
## 2599 1.1787010 5.0 0.5881557 0.4165868 0.2500000
## 2600 1.1787010 5.0 0.5881557 0.4165868 0.2500000
## 2601 1.1787010 5.0 0.5881557 0.4165868 0.2500000
## 2602 1.1787010 5.0 0.5881557 0.4165868 0.2500000
## 2603 1.1787010 5.0 0.5881557 0.4165868 0.2500000
## 2604 1.1787010 5.0 0.5881557 0.4165868 0.2500000
## 2605 1.1787010 5.0 0.5881557 0.4165868 0.2500000
## 2606 1.1787010 5.0 0.5881557 0.4165868 0.2500000
## 2607 1.1787010 5.0 0.5881557 0.4165868 0.2500000
## 2608 1.1787010 5.0 0.5881557 0.4165868 0.2500000
## 2609 1.1787010 5.0 0.5881557 0.4165868 0.2500000
## 2610 1.1787010 5.0 0.5881557 0.4165868 0.2500000
## 2611 1.1787010 5.0 0.5881557 0.4165868 0.2500000
## 2612 1.1787010 5.0 0.5881557 0.4165868 0.2500000
## 2613 1.1787010 5.0 0.5881557 0.4165868 0.2500000
## 2614 1.1787010 5.0 0.5881557 0.4165868 0.2500000
## 2615 1.1787010 5.0 0.5881557 0.4165868 0.2500000
## 2616 1.1787010 5.0 0.5881557 0.4165868 0.2500000
## 2617 0.9245130 3.5 0.8128693 0.6847345 0.5000000
## 2618 0.9245130 3.5 0.8128693 0.6847345 0.5000000
## 2619 0.9245130 3.5 0.8128693 0.6847345 0.5000000
## 2620 0.9245130 3.5 0.8128693 0.6847345 0.5000000
## 2621 0.9245130 3.5 0.8128693 0.6847345 0.5000000
## 2622 0.9245130 3.5 0.8128693 0.6847345 0.5000000
## 2623 0.9245130 3.5 0.8128693 0.6847345 0.5000000
## 2624 0.9245130 3.5 0.8128693 0.6847345 0.5000000
## 2625 0.9245130 3.5 0.8128693 0.6847345 0.5000000
## 2626 0.9245130 3.5 0.8128693 0.6847345 0.5000000
## 2627 0.9245130 3.5 0.8128693 0.6847345 0.5000000
## 2628 0.9245130 3.5 0.8128693 0.6847345 0.5000000
## 2629 0.9245130 3.5 0.8128693 0.6847345 0.5000000
## 2630 0.9245130 3.5 0.8128693 0.6847345 0.5000000
## 2631 0.9245130 3.5 0.8128693 0.6847345 0.5000000
## beta_nestedness beta_total metaecosystem_richness
## 1 0.00000000 0.00000000 11
## 2 0.00000000 0.00000000 11
## 3 0.00000000 0.00000000 11
## 4 0.00000000 0.00000000 11
## 5 0.00000000 0.00000000 11
## 6 0.00000000 0.00000000 11
## 7 0.00000000 0.00000000 11
## 8 0.00000000 0.00000000 11
## 9 0.00000000 0.00000000 11
## 10 0.00000000 0.00000000 11
## 11 0.00000000 0.00000000 11
## 12 0.00000000 0.00000000 11
## 13 0.00000000 0.00000000 11
## 14 0.00000000 0.00000000 11
## 15 0.00000000 0.00000000 11
## 16 0.00000000 0.00000000 11
## 17 0.00000000 0.00000000 11
## 18 0.00000000 0.00000000 11
## 19 0.00000000 0.00000000 11
## 20 0.00000000 0.00000000 11
## 21 0.00000000 0.00000000 11
## 22 0.00000000 0.00000000 11
## 23 0.00000000 0.00000000 11
## 24 0.00000000 0.00000000 11
## 25 0.05714286 0.20000000 9
## 26 0.05714286 0.20000000 9
## 27 0.05714286 0.20000000 9
## 28 0.05714286 0.20000000 9
## 29 0.05714286 0.20000000 9
## 30 0.05714286 0.20000000 9
## 31 0.05714286 0.20000000 9
## 32 0.05714286 0.20000000 9
## 33 0.05714286 0.20000000 9
## 34 0.05714286 0.20000000 9
## 35 0.05714286 0.20000000 9
## 36 0.05714286 0.20000000 9
## 37 0.05714286 0.20000000 9
## 38 0.05714286 0.20000000 9
## 39 0.05714286 0.20000000 9
## 40 0.05714286 0.20000000 9
## 41 0.05714286 0.20000000 9
## 42 0.05714286 0.20000000 9
## 43 0.05714286 0.20000000 9
## 44 0.05714286 0.20000000 9
## 45 0.05714286 0.20000000 9
## 46 0.05714286 0.20000000 9
## 47 0.05714286 0.20000000 9
## 48 0.05714286 0.20000000 9
## 49 0.00000000 0.12500000 9
## 50 0.00000000 0.12500000 9
## 51 0.00000000 0.12500000 9
## 52 0.00000000 0.12500000 9
## 53 0.00000000 0.12500000 9
## 54 0.00000000 0.12500000 9
## 55 0.00000000 0.12500000 9
## 56 0.00000000 0.12500000 9
## 57 0.00000000 0.12500000 9
## 58 0.00000000 0.12500000 9
## 59 0.00000000 0.12500000 9
## 60 0.00000000 0.12500000 9
## 61 0.00000000 0.12500000 9
## 62 0.00000000 0.12500000 9
## 63 0.00000000 0.12500000 9
## 64 0.00000000 0.12500000 9
## 65 0.00000000 0.12500000 9
## 66 0.00000000 0.12500000 9
## 67 0.00000000 0.12500000 9
## 68 0.00000000 0.12500000 9
## 69 0.00000000 0.12500000 9
## 70 0.00000000 0.12500000 9
## 71 0.00000000 0.12500000 9
## 72 0.00000000 0.12500000 9
## 73 0.33333333 0.33333333 8
## 74 0.33333333 0.33333333 8
## 75 0.33333333 0.33333333 8
## 76 0.33333333 0.33333333 8
## 77 0.33333333 0.33333333 8
## 78 0.33333333 0.33333333 8
## 79 0.33333333 0.33333333 8
## 80 0.33333333 0.33333333 8
## 81 0.33333333 0.33333333 8
## 82 0.33333333 0.33333333 8
## 83 0.33333333 0.33333333 8
## 84 0.33333333 0.33333333 8
## 85 0.33333333 0.33333333 8
## 86 0.33333333 0.33333333 8
## 87 0.33333333 0.33333333 8
## 88 0.33333333 0.33333333 8
## 89 0.33333333 0.33333333 8
## 90 0.33333333 0.33333333 8
## 91 0.33333333 0.33333333 8
## 92 0.33333333 0.33333333 8
## 93 0.33333333 0.33333333 8
## 94 0.33333333 0.33333333 8
## 95 0.33333333 0.33333333 8
## 96 0.33333333 0.33333333 8
## 97 0.05714286 0.20000000 9
## 98 0.05714286 0.20000000 9
## 99 0.05714286 0.20000000 9
## 100 0.05714286 0.20000000 9
## 101 0.05714286 0.20000000 9
## 102 0.05714286 0.20000000 9
## 103 0.05714286 0.20000000 9
## 104 0.05714286 0.20000000 9
## 105 0.05714286 0.20000000 9
## 106 0.05714286 0.20000000 9
## 107 0.05714286 0.20000000 9
## 108 0.05714286 0.20000000 9
## 109 0.05714286 0.20000000 9
## 110 0.05714286 0.20000000 9
## 111 0.05714286 0.20000000 9
## 112 0.05714286 0.20000000 9
## 113 0.05714286 0.20000000 9
## 114 0.05714286 0.20000000 9
## 115 0.05714286 0.20000000 9
## 116 0.05714286 0.20000000 9
## 117 0.05714286 0.20000000 9
## 118 0.05714286 0.20000000 9
## 119 0.05714286 0.20000000 9
## 120 0.05714286 0.20000000 9
## 121 0.50000000 0.50000000 6
## 122 0.50000000 0.50000000 6
## 123 0.50000000 0.50000000 6
## 124 0.50000000 0.50000000 6
## 125 0.50000000 0.50000000 6
## 126 0.50000000 0.50000000 6
## 127 0.50000000 0.50000000 6
## 128 0.50000000 0.50000000 6
## 129 0.50000000 0.50000000 6
## 130 0.50000000 0.50000000 6
## 131 0.50000000 0.50000000 6
## 132 0.50000000 0.50000000 6
## 133 0.50000000 0.50000000 6
## 134 0.50000000 0.50000000 6
## 135 0.50000000 0.50000000 6
## 136 0.50000000 0.50000000 6
## 137 0.50000000 0.50000000 6
## 138 0.50000000 0.50000000 6
## 139 0.50000000 0.50000000 6
## 140 0.50000000 0.50000000 6
## 141 0.50000000 0.50000000 6
## 142 0.50000000 0.50000000 6
## 143 0.50000000 0.50000000 6
## 144 0.50000000 0.50000000 6
## 145 0.10000000 0.50000000 9
## 146 0.10000000 0.50000000 9
## 147 0.10000000 0.50000000 9
## 148 0.10000000 0.50000000 9
## 149 0.10000000 0.50000000 9
## 150 0.10000000 0.50000000 9
## 151 0.10000000 0.50000000 9
## 152 0.10000000 0.50000000 9
## 153 0.10000000 0.50000000 9
## 154 0.10000000 0.50000000 9
## 155 0.10000000 0.50000000 9
## 156 0.10000000 0.50000000 9
## 157 0.10000000 0.50000000 9
## 158 0.10000000 0.50000000 9
## 159 0.10000000 0.50000000 9
## 160 0.10000000 0.50000000 9
## 161 0.10000000 0.50000000 9
## 162 0.10000000 0.50000000 9
## 163 0.10000000 0.50000000 9
## 164 0.10000000 0.50000000 9
## 165 0.10000000 0.50000000 9
## 166 0.10000000 0.50000000 9
## 167 0.10000000 0.50000000 9
## 168 0.10000000 0.50000000 9
## 169 0.63636364 0.63636364 9
## 170 0.63636364 0.63636364 9
## 171 0.63636364 0.63636364 9
## 172 0.63636364 0.63636364 9
## 173 0.63636364 0.63636364 9
## 174 0.63636364 0.63636364 9
## 175 0.63636364 0.63636364 9
## 176 0.63636364 0.63636364 9
## 177 0.63636364 0.63636364 9
## 178 0.63636364 0.63636364 9
## 179 0.63636364 0.63636364 9
## 180 0.63636364 0.63636364 9
## 181 0.63636364 0.63636364 9
## 182 0.63636364 0.63636364 9
## 183 0.63636364 0.63636364 9
## 184 0.63636364 0.63636364 9
## 185 0.63636364 0.63636364 9
## 186 0.63636364 0.63636364 9
## 187 0.63636364 0.63636364 9
## 188 0.63636364 0.63636364 9
## 189 0.63636364 0.63636364 9
## 190 0.63636364 0.63636364 9
## 191 0.63636364 0.63636364 9
## 192 0.63636364 0.63636364 9
## 193 0.00000000 0.00000000 11
## 194 0.00000000 0.00000000 11
## 195 0.00000000 0.00000000 11
## 196 0.00000000 0.00000000 11
## 197 0.00000000 0.00000000 11
## 198 0.00000000 0.00000000 11
## 199 0.00000000 0.00000000 11
## 200 0.00000000 0.00000000 11
## 201 0.00000000 0.00000000 11
## 202 0.00000000 0.00000000 11
## 203 0.00000000 0.00000000 11
## 204 0.00000000 0.00000000 11
## 205 0.00000000 0.00000000 11
## 206 0.00000000 0.00000000 11
## 207 0.00000000 0.00000000 11
## 208 0.00000000 0.00000000 11
## 209 0.00000000 0.00000000 11
## 210 0.00000000 0.00000000 11
## 211 0.00000000 0.00000000 11
## 212 0.00000000 0.00000000 11
## 213 0.00000000 0.00000000 11
## 214 0.00000000 0.00000000 11
## 215 0.00000000 0.00000000 11
## 216 0.00000000 0.00000000 11
## 217 0.12500000 0.12500000 9
## 218 0.12500000 0.12500000 9
## 219 0.12500000 0.12500000 9
## 220 0.12500000 0.12500000 9
## 221 0.12500000 0.12500000 9
## 222 0.12500000 0.12500000 9
## 223 0.12500000 0.12500000 9
## 224 0.12500000 0.12500000 9
## 225 0.12500000 0.12500000 9
## 226 0.12500000 0.12500000 9
## 227 0.12500000 0.12500000 9
## 228 0.12500000 0.12500000 9
## 229 0.12500000 0.12500000 9
## 230 0.12500000 0.12500000 9
## 231 0.12500000 0.12500000 9
## 232 0.12500000 0.12500000 9
## 233 0.12500000 0.12500000 9
## 234 0.12500000 0.12500000 9
## 235 0.12500000 0.12500000 9
## 236 0.12500000 0.12500000 9
## 237 0.12500000 0.12500000 9
## 238 0.12500000 0.12500000 9
## 239 0.12500000 0.12500000 9
## 240 0.12500000 0.12500000 9
## 241 0.23076923 0.23076923 8
## 242 0.23076923 0.23076923 8
## 243 0.23076923 0.23076923 8
## 244 0.23076923 0.23076923 8
## 245 0.23076923 0.23076923 8
## 246 0.23076923 0.23076923 8
## 247 0.23076923 0.23076923 8
## 248 0.23076923 0.23076923 8
## 249 0.23076923 0.23076923 8
## 250 0.23076923 0.23076923 8
## 251 0.23076923 0.23076923 8
## 252 0.23076923 0.23076923 8
## 253 0.23076923 0.23076923 8
## 254 0.23076923 0.23076923 8
## 255 0.23076923 0.23076923 8
## 256 0.23076923 0.23076923 8
## 257 0.23076923 0.23076923 8
## 258 0.23076923 0.23076923 8
## 259 0.23076923 0.23076923 8
## 260 0.23076923 0.23076923 8
## 261 0.23076923 0.23076923 8
## 262 0.23076923 0.23076923 8
## 263 0.23076923 0.23076923 8
## 264 0.23076923 0.23076923 8
## 265 0.25000000 0.50000000 9
## 266 0.25000000 0.50000000 9
## 267 0.25000000 0.50000000 9
## 268 0.25000000 0.50000000 9
## 269 0.25000000 0.50000000 9
## 270 0.25000000 0.50000000 9
## 271 0.25000000 0.50000000 9
## 272 0.25000000 0.50000000 9
## 273 0.25000000 0.50000000 9
## 274 0.25000000 0.50000000 9
## 275 0.25000000 0.50000000 9
## 276 0.25000000 0.50000000 9
## 277 0.25000000 0.50000000 9
## 278 0.25000000 0.50000000 9
## 279 0.25000000 0.50000000 9
## 280 0.25000000 0.50000000 9
## 281 0.25000000 0.50000000 9
## 282 0.25000000 0.50000000 9
## 283 0.25000000 0.50000000 9
## 284 0.25000000 0.50000000 9
## 285 0.25000000 0.50000000 9
## 286 0.25000000 0.50000000 9
## 287 0.25000000 0.50000000 9
## 288 0.25000000 0.50000000 9
## 289 0.13333333 0.33333333 8
## 290 0.13333333 0.33333333 8
## 291 0.13333333 0.33333333 8
## 292 0.13333333 0.33333333 8
## 293 0.13333333 0.33333333 8
## 294 0.13333333 0.33333333 8
## 295 0.13333333 0.33333333 8
## 296 0.13333333 0.33333333 8
## 297 0.13333333 0.33333333 8
## 298 0.13333333 0.33333333 8
## 299 0.13333333 0.33333333 8
## 300 0.13333333 0.33333333 8
## 301 0.13333333 0.33333333 8
## 302 0.13333333 0.33333333 8
## 303 0.13333333 0.33333333 8
## 304 0.13333333 0.33333333 8
## 305 0.13333333 0.33333333 8
## 306 0.13333333 0.33333333 8
## 307 0.13333333 0.33333333 8
## 308 0.13333333 0.33333333 8
## 309 0.13333333 0.33333333 8
## 310 0.13333333 0.33333333 8
## 311 0.13333333 0.33333333 8
## 312 0.13333333 0.33333333 8
## 313 0.60000000 0.60000000 8
## 314 0.60000000 0.60000000 8
## 315 0.60000000 0.60000000 8
## 316 0.60000000 0.60000000 8
## 317 0.60000000 0.60000000 8
## 318 0.60000000 0.60000000 8
## 319 0.60000000 0.60000000 8
## 320 0.60000000 0.60000000 8
## 321 0.60000000 0.60000000 8
## 322 0.60000000 0.60000000 8
## 323 0.60000000 0.60000000 8
## 324 0.60000000 0.60000000 8
## 325 0.60000000 0.60000000 8
## 326 0.60000000 0.60000000 8
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## 1964 0.14285714 0.14285714 8
## 1965 0.14285714 0.14285714 8
## 1966 0.14285714 0.14285714 8
## 1967 0.14285714 0.14285714 8
## 1968 0.14285714 0.14285714 8
## 1969 0.14285714 0.14285714 8
## 1970 0.14285714 0.14285714 8
## 1971 0.14285714 0.14285714 8
## 1972 0.14285714 0.14285714 8
## 1973 0.14285714 0.14285714 8
## 1974 0.14285714 0.14285714 8
## 1975 0.14285714 0.14285714 8
## 1976 0.14285714 0.14285714 8
## 1977 0.14285714 0.14285714 8
## 1978 0.14285714 0.14285714 8
## 1979 0.14285714 0.14285714 8
## 1980 0.14285714 0.14285714 8
## 1981 0.14285714 0.14285714 8
## 1982 0.14285714 0.14285714 8
## 1983 0.14285714 0.14285714 8
## 1984 0.14285714 0.14285714 8
## 1985 0.14285714 0.14285714 8
## 1986 0.14285714 0.14285714 8
## 1987 0.14285714 0.14285714 8
## 1988 0.14285714 0.14285714 8
## 1989 0.14285714 0.14285714 8
## 1990 0.14285714 0.14285714 8
## 1991 0.14285714 0.14285714 8
## 1992 0.14285714 0.14285714 8
## 1993 0.33333333 0.33333333 8
## 1994 0.33333333 0.33333333 8
## 1995 0.33333333 0.33333333 8
## 1996 0.33333333 0.33333333 8
## 1997 0.33333333 0.33333333 8
## 1998 0.33333333 0.33333333 8
## 1999 0.33333333 0.33333333 8
## 2000 0.33333333 0.33333333 8
## 2001 0.33333333 0.33333333 8
## 2002 0.33333333 0.33333333 8
## 2003 0.33333333 0.33333333 8
## 2004 0.33333333 0.33333333 8
## 2005 0.33333333 0.33333333 8
## 2006 0.33333333 0.33333333 8
## 2007 0.33333333 0.33333333 8
## 2008 0.33333333 0.33333333 8
## 2009 0.33333333 0.33333333 8
## 2010 0.33333333 0.33333333 8
## 2011 0.33333333 0.33333333 8
## 2012 0.33333333 0.33333333 8
## 2013 0.33333333 0.33333333 8
## 2014 0.33333333 0.33333333 8
## 2015 0.33333333 0.33333333 8
## 2016 0.33333333 0.33333333 8
## 2017 0.25000000 0.50000000 9
## 2018 0.25000000 0.50000000 9
## 2019 0.25000000 0.50000000 9
## 2020 0.25000000 0.50000000 9
## 2021 0.25000000 0.50000000 9
## 2022 0.25000000 0.50000000 9
## 2023 0.25000000 0.50000000 9
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## 2027 0.25000000 0.50000000 9
## 2028 0.25000000 0.50000000 9
## 2029 0.25000000 0.50000000 9
## 2030 0.25000000 0.50000000 9
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## 2502 0.00000000 0.00000000 11
## 2503 0.00000000 0.00000000 11
## 2504 0.00000000 0.00000000 11
## 2505 0.00000000 0.00000000 11
## 2506 0.00000000 0.00000000 11
## 2507 0.00000000 0.00000000 11
## 2508 0.00000000 0.00000000 11
## 2509 0.00000000 0.00000000 11
## 2510 0.00000000 0.00000000 11
## 2511 0.00000000 0.00000000 11
## 2512 0.00000000 0.00000000 11
## 2513 0.00000000 0.00000000 11
## 2514 0.00000000 0.00000000 11
## 2515 0.00000000 0.00000000 11
## 2516 0.00000000 0.00000000 11
## 2517 0.00000000 0.00000000 11
## 2518 0.00000000 0.00000000 11
## 2519 0.00000000 0.00000000 11
## 2520 0.00000000 0.00000000 11
## 2521 0.07692308 0.07692308 7
## 2522 0.07692308 0.07692308 7
## 2523 0.07692308 0.07692308 7
## 2524 0.07692308 0.07692308 7
## 2525 0.07692308 0.07692308 7
## 2526 0.07692308 0.07692308 7
## 2527 0.07692308 0.07692308 7
## 2528 0.07692308 0.07692308 7
## 2529 0.07692308 0.07692308 7
## 2530 0.07692308 0.07692308 7
## 2531 0.07692308 0.07692308 7
## 2532 0.07692308 0.07692308 7
## 2533 0.07692308 0.07692308 7
## 2534 0.07692308 0.07692308 7
## 2535 0.07692308 0.07692308 7
## 2536 0.07692308 0.07692308 7
## 2537 0.07692308 0.07692308 7
## 2538 0.07692308 0.07692308 7
## 2539 0.07692308 0.07692308 7
## 2540 0.07692308 0.07692308 7
## 2541 0.07692308 0.07692308 7
## 2542 0.07692308 0.07692308 7
## 2543 0.07692308 0.07692308 7
## 2544 0.07692308 0.07692308 7
## 2545 0.14285714 0.14285714 8
## 2546 0.14285714 0.14285714 8
## 2547 0.14285714 0.14285714 8
## 2548 0.14285714 0.14285714 8
## 2549 0.14285714 0.14285714 8
## 2550 0.14285714 0.14285714 8
## 2551 0.14285714 0.14285714 8
## 2552 0.14285714 0.14285714 8
## 2553 0.14285714 0.14285714 8
## 2554 0.14285714 0.14285714 8
## 2555 0.14285714 0.14285714 8
## 2556 0.14285714 0.14285714 8
## 2557 0.14285714 0.14285714 8
## 2558 0.14285714 0.14285714 8
## 2559 0.14285714 0.14285714 8
## 2560 0.14285714 0.14285714 8
## 2561 0.14285714 0.14285714 8
## 2562 0.14285714 0.14285714 8
## 2563 0.14285714 0.14285714 8
## 2564 0.14285714 0.14285714 8
## 2565 0.14285714 0.14285714 8
## 2566 0.14285714 0.14285714 8
## 2567 0.14285714 0.14285714 8
## 2568 0.14285714 0.14285714 8
## 2569 0.15000000 0.40000000 7
## 2570 0.15000000 0.40000000 7
## 2571 0.15000000 0.40000000 7
## 2572 0.15000000 0.40000000 7
## 2573 0.15000000 0.40000000 7
## 2574 0.15000000 0.40000000 7
## 2575 0.15000000 0.40000000 7
## 2576 0.15000000 0.40000000 7
## 2577 0.15000000 0.40000000 7
## 2578 0.15000000 0.40000000 7
## 2579 0.15000000 0.40000000 7
## 2580 0.15000000 0.40000000 7
## 2581 0.15000000 0.40000000 7
## 2582 0.15000000 0.40000000 7
## 2583 0.15000000 0.40000000 7
## 2584 0.15000000 0.40000000 7
## 2585 0.15000000 0.40000000 7
## 2586 0.15000000 0.40000000 7
## 2587 0.15000000 0.40000000 7
## 2588 0.15000000 0.40000000 7
## 2589 0.15000000 0.40000000 7
## 2590 0.15000000 0.40000000 7
## 2591 0.15000000 0.40000000 7
## 2592 0.15000000 0.40000000 7
## 2593 0.15000000 0.40000000 7
## 2594 0.15000000 0.40000000 7
## 2595 0.15000000 0.40000000 7
## 2596 0.15000000 0.40000000 7
## 2597 0.15000000 0.40000000 7
## 2598 0.15000000 0.40000000 7
## 2599 0.15000000 0.40000000 7
## 2600 0.15000000 0.40000000 7
## 2601 0.15000000 0.40000000 7
## 2602 0.15000000 0.40000000 7
## 2603 0.15000000 0.40000000 7
## 2604 0.15000000 0.40000000 7
## 2605 0.15000000 0.40000000 7
## 2606 0.15000000 0.40000000 7
## 2607 0.15000000 0.40000000 7
## 2608 0.15000000 0.40000000 7
## 2609 0.15000000 0.40000000 7
## 2610 0.15000000 0.40000000 7
## 2611 0.15000000 0.40000000 7
## 2612 0.15000000 0.40000000 7
## 2613 0.15000000 0.40000000 7
## 2614 0.15000000 0.40000000 7
## 2615 0.15000000 0.40000000 7
## 2616 0.15000000 0.40000000 7
## 2617 0.21428571 0.71428571 6
## 2618 0.21428571 0.71428571 6
## 2619 0.21428571 0.71428571 6
## 2620 0.21428571 0.71428571 6
## 2621 0.21428571 0.71428571 6
## 2622 0.21428571 0.71428571 6
## 2623 0.21428571 0.71428571 6
## 2624 0.21428571 0.71428571 6
## 2625 0.21428571 0.71428571 6
## 2626 0.21428571 0.71428571 6
## 2627 0.21428571 0.71428571 6
## 2628 0.21428571 0.71428571 6
## 2629 0.21428571 0.71428571 6
## 2630 0.21428571 0.71428571 6
## 2631 0.21428571 0.71428571 6
## total_metaecosystem_bioarea_mm2 total_metaecosystem_Ble_indiv
## 1 96.92197 217.1512
## 2 96.92197 217.1512
## 3 96.92197 217.1512
## 4 96.92197 217.1512
## 5 96.92197 217.1512
## 6 96.92197 217.1512
## 7 96.92197 217.1512
## 8 96.92197 217.1512
## 9 96.92197 217.1512
## 10 96.92197 217.1512
## 11 96.92197 217.1512
## 12 96.92197 217.1512
## 13 96.92197 217.1512
## 14 96.92197 217.1512
## 15 96.92197 217.1512
## 16 96.92197 217.1512
## 17 96.92197 217.1512
## 18 96.92197 217.1512
## 19 96.92197 217.1512
## 20 96.92197 217.1512
## 21 96.92197 217.1512
## 22 96.92197 217.1512
## 23 96.92197 217.1512
## 24 96.92197 217.1512
## 25 152.90836 1037.7907
## 26 152.90836 1037.7907
## 27 152.90836 1037.7907
## 28 152.90836 1037.7907
## 29 152.90836 1037.7907
## 30 152.90836 1037.7907
## 31 152.90836 1037.7907
## 32 152.90836 1037.7907
## 33 152.90836 1037.7907
## 34 152.90836 1037.7907
## 35 152.90836 1037.7907
## 36 152.90836 1037.7907
## 37 152.90836 1037.7907
## 38 152.90836 1037.7907
## 39 152.90836 1037.7907
## 40 152.90836 1037.7907
## 41 152.90836 1037.7907
## 42 152.90836 1037.7907
## 43 152.90836 1037.7907
## 44 152.90836 1037.7907
## 45 152.90836 1037.7907
## 46 152.90836 1037.7907
## 47 152.90836 1037.7907
## 48 152.90836 1037.7907
## 49 163.09305 2398.2558
## 50 163.09305 2398.2558
## 51 163.09305 2398.2558
## 52 163.09305 2398.2558
## 53 163.09305 2398.2558
## 54 163.09305 2398.2558
## 55 163.09305 2398.2558
## 56 163.09305 2398.2558
## 57 163.09305 2398.2558
## 58 163.09305 2398.2558
## 59 163.09305 2398.2558
## 60 163.09305 2398.2558
## 61 163.09305 2398.2558
## 62 163.09305 2398.2558
## 63 163.09305 2398.2558
## 64 163.09305 2398.2558
## 65 163.09305 2398.2558
## 66 163.09305 2398.2558
## 67 163.09305 2398.2558
## 68 163.09305 2398.2558
## 69 163.09305 2398.2558
## 70 163.09305 2398.2558
## 71 163.09305 2398.2558
## 72 163.09305 2398.2558
## 73 182.03030 3174.4186
## 74 182.03030 3174.4186
## 75 182.03030 3174.4186
## 76 182.03030 3174.4186
## 77 182.03030 3174.4186
## 78 182.03030 3174.4186
## 79 182.03030 3174.4186
## 80 182.03030 3174.4186
## 81 182.03030 3174.4186
## 82 182.03030 3174.4186
## 83 182.03030 3174.4186
## 84 182.03030 3174.4186
## 85 182.03030 3174.4186
## 86 182.03030 3174.4186
## 87 182.03030 3174.4186
## 88 182.03030 3174.4186
## 89 182.03030 3174.4186
## 90 182.03030 3174.4186
## 91 182.03030 3174.4186
## 92 182.03030 3174.4186
## 93 182.03030 3174.4186
## 94 182.03030 3174.4186
## 95 182.03030 3174.4186
## 96 182.03030 3174.4186
## 97 140.28580 4006.3953
## 98 140.28580 4006.3953
## 99 140.28580 4006.3953
## 100 140.28580 4006.3953
## 101 140.28580 4006.3953
## 102 140.28580 4006.3953
## 103 140.28580 4006.3953
## 104 140.28580 4006.3953
## 105 140.28580 4006.3953
## 106 140.28580 4006.3953
## 107 140.28580 4006.3953
## 108 140.28580 4006.3953
## 109 140.28580 4006.3953
## 110 140.28580 4006.3953
## 111 140.28580 4006.3953
## 112 140.28580 4006.3953
## 113 140.28580 4006.3953
## 114 140.28580 4006.3953
## 115 140.28580 4006.3953
## 116 140.28580 4006.3953
## 117 140.28580 4006.3953
## 118 140.28580 4006.3953
## 119 140.28580 4006.3953
## 120 140.28580 4006.3953
## 121 117.28324 3750.0000
## 122 117.28324 3750.0000
## 123 117.28324 3750.0000
## 124 117.28324 3750.0000
## 125 117.28324 3750.0000
## 126 117.28324 3750.0000
## 127 117.28324 3750.0000
## 128 117.28324 3750.0000
## 129 117.28324 3750.0000
## 130 117.28324 3750.0000
## 131 117.28324 3750.0000
## 132 117.28324 3750.0000
## 133 117.28324 3750.0000
## 134 117.28324 3750.0000
## 135 117.28324 3750.0000
## 136 117.28324 3750.0000
## 137 117.28324 3750.0000
## 138 117.28324 3750.0000
## 139 117.28324 3750.0000
## 140 117.28324 3750.0000
## 141 117.28324 3750.0000
## 142 117.28324 3750.0000
## 143 117.28324 3750.0000
## 144 117.28324 3750.0000
## 145 103.80974 2986.9186
## 146 103.80974 2986.9186
## 147 103.80974 2986.9186
## 148 103.80974 2986.9186
## 149 103.80974 2986.9186
## 150 103.80974 2986.9186
## 151 103.80974 2986.9186
## 152 103.80974 2986.9186
## 153 103.80974 2986.9186
## 154 103.80974 2986.9186
## 155 103.80974 2986.9186
## 156 103.80974 2986.9186
## 157 103.80974 2986.9186
## 158 103.80974 2986.9186
## 159 103.80974 2986.9186
## 160 103.80974 2986.9186
## 161 103.80974 2986.9186
## 162 103.80974 2986.9186
## 163 103.80974 2986.9186
## 164 103.80974 2986.9186
## 165 103.80974 2986.9186
## 166 103.80974 2986.9186
## 167 103.80974 2986.9186
## 168 103.80974 2986.9186
## 169 92.60172 1748.5465
## 170 92.60172 1748.5465
## 171 92.60172 1748.5465
## 172 92.60172 1748.5465
## 173 92.60172 1748.5465
## 174 92.60172 1748.5465
## 175 92.60172 1748.5465
## 176 92.60172 1748.5465
## 177 92.60172 1748.5465
## 178 92.60172 1748.5465
## 179 92.60172 1748.5465
## 180 92.60172 1748.5465
## 181 92.60172 1748.5465
## 182 92.60172 1748.5465
## 183 92.60172 1748.5465
## 184 92.60172 1748.5465
## 185 92.60172 1748.5465
## 186 92.60172 1748.5465
## 187 92.60172 1748.5465
## 188 92.60172 1748.5465
## 189 92.60172 1748.5465
## 190 92.60172 1748.5465
## 191 92.60172 1748.5465
## 192 92.60172 1748.5465
## 193 96.92197 217.1512
## 194 96.92197 217.1512
## 195 96.92197 217.1512
## 196 96.92197 217.1512
## 197 96.92197 217.1512
## 198 96.92197 217.1512
## 199 96.92197 217.1512
## 200 96.92197 217.1512
## 201 96.92197 217.1512
## 202 96.92197 217.1512
## 203 96.92197 217.1512
## 204 96.92197 217.1512
## 205 96.92197 217.1512
## 206 96.92197 217.1512
## 207 96.92197 217.1512
## 208 96.92197 217.1512
## 209 96.92197 217.1512
## 210 96.92197 217.1512
## 211 96.92197 217.1512
## 212 96.92197 217.1512
## 213 96.92197 217.1512
## 214 96.92197 217.1512
## 215 96.92197 217.1512
## 216 96.92197 217.1512
## 217 229.78020 5537.7907
## 218 229.78020 5537.7907
## 219 229.78020 5537.7907
## 220 229.78020 5537.7907
## 221 229.78020 5537.7907
## 222 229.78020 5537.7907
## 223 229.78020 5537.7907
## 224 229.78020 5537.7907
## 225 229.78020 5537.7907
## 226 229.78020 5537.7907
## 227 229.78020 5537.7907
## 228 229.78020 5537.7907
## 229 229.78020 5537.7907
## 230 229.78020 5537.7907
## 231 229.78020 5537.7907
## 232 229.78020 5537.7907
## 233 229.78020 5537.7907
## 234 229.78020 5537.7907
## 235 229.78020 5537.7907
## 236 229.78020 5537.7907
## 237 229.78020 5537.7907
## 238 229.78020 5537.7907
## 239 229.78020 5537.7907
## 240 229.78020 5537.7907
## 241 133.25628 2904.0698
## 242 133.25628 2904.0698
## 243 133.25628 2904.0698
## 244 133.25628 2904.0698
## 245 133.25628 2904.0698
## 246 133.25628 2904.0698
## 247 133.25628 2904.0698
## 248 133.25628 2904.0698
## 249 133.25628 2904.0698
## 250 133.25628 2904.0698
## 251 133.25628 2904.0698
## 252 133.25628 2904.0698
## 253 133.25628 2904.0698
## 254 133.25628 2904.0698
## 255 133.25628 2904.0698
## 256 133.25628 2904.0698
## 257 133.25628 2904.0698
## 258 133.25628 2904.0698
## 259 133.25628 2904.0698
## 260 133.25628 2904.0698
## 261 133.25628 2904.0698
## 262 133.25628 2904.0698
## 263 133.25628 2904.0698
## 264 133.25628 2904.0698
## 265 209.35334 4752.9070
## 266 209.35334 4752.9070
## 267 209.35334 4752.9070
## 268 209.35334 4752.9070
## 269 209.35334 4752.9070
## 270 209.35334 4752.9070
## 271 209.35334 4752.9070
## 272 209.35334 4752.9070
## 273 209.35334 4752.9070
## 274 209.35334 4752.9070
## 275 209.35334 4752.9070
## 276 209.35334 4752.9070
## 277 209.35334 4752.9070
## 278 209.35334 4752.9070
## 279 209.35334 4752.9070
## 280 209.35334 4752.9070
## 281 209.35334 4752.9070
## 282 209.35334 4752.9070
## 283 209.35334 4752.9070
## 284 209.35334 4752.9070
## 285 209.35334 4752.9070
## 286 209.35334 4752.9070
## 287 209.35334 4752.9070
## 288 209.35334 4752.9070
## 289 176.95269 3430.8140
## 290 176.95269 3430.8140
## 291 176.95269 3430.8140
## 292 176.95269 3430.8140
## 293 176.95269 3430.8140
## 294 176.95269 3430.8140
## 295 176.95269 3430.8140
## 296 176.95269 3430.8140
## 297 176.95269 3430.8140
## 298 176.95269 3430.8140
## 299 176.95269 3430.8140
## 300 176.95269 3430.8140
## 301 176.95269 3430.8140
## 302 176.95269 3430.8140
## 303 176.95269 3430.8140
## 304 176.95269 3430.8140
## 305 176.95269 3430.8140
## 306 176.95269 3430.8140
## 307 176.95269 3430.8140
## 308 176.95269 3430.8140
## 309 176.95269 3430.8140
## 310 176.95269 3430.8140
## 311 176.95269 3430.8140
## 312 176.95269 3430.8140
## 313 119.42234 2659.8837
## 314 119.42234 2659.8837
## 315 119.42234 2659.8837
## 316 119.42234 2659.8837
## 317 119.42234 2659.8837
## 318 119.42234 2659.8837
## 319 119.42234 2659.8837
## 320 119.42234 2659.8837
## 321 119.42234 2659.8837
## 322 119.42234 2659.8837
## 323 119.42234 2659.8837
## 324 119.42234 2659.8837
## 325 119.42234 2659.8837
## 326 119.42234 2659.8837
## 327 119.42234 2659.8837
## 328 119.42234 2659.8837
## 329 119.42234 2659.8837
## 330 119.42234 2659.8837
## 331 119.42234 2659.8837
## 332 119.42234 2659.8837
## 333 119.42234 2659.8837
## 334 119.42234 2659.8837
## 335 119.42234 2659.8837
## 336 119.42234 2659.8837
## 337 105.58980 4984.0116
## 338 105.58980 4984.0116
## 339 105.58980 4984.0116
## 340 105.58980 4984.0116
## 341 105.58980 4984.0116
## 342 105.58980 4984.0116
## 343 105.58980 4984.0116
## 344 105.58980 4984.0116
## 345 105.58980 4984.0116
## 346 105.58980 4984.0116
## 347 105.58980 4984.0116
## 348 105.58980 4984.0116
## 349 105.58980 4984.0116
## 350 105.58980 4984.0116
## 351 105.58980 4984.0116
## 352 105.58980 4984.0116
## 353 105.58980 4984.0116
## 354 105.58980 4984.0116
## 355 105.58980 4984.0116
## 356 105.58980 4984.0116
## 357 105.58980 4984.0116
## 358 105.58980 4984.0116
## 359 105.58980 4984.0116
## 360 105.58980 4984.0116
## 361 70.36451 2376.4535
## 362 70.36451 2376.4535
## 363 70.36451 2376.4535
## 364 70.36451 2376.4535
## 365 70.36451 2376.4535
## 366 70.36451 2376.4535
## 367 70.36451 2376.4535
## 368 70.36451 2376.4535
## 369 70.36451 2376.4535
## 370 70.36451 2376.4535
## 371 70.36451 2376.4535
## 372 70.36451 2376.4535
## 373 70.36451 2376.4535
## 374 70.36451 2376.4535
## 375 70.36451 2376.4535
## 376 70.36451 2376.4535
## 377 70.36451 2376.4535
## 378 70.36451 2376.4535
## 379 70.36451 2376.4535
## 380 70.36451 2376.4535
## 381 70.36451 2376.4535
## 382 70.36451 2376.4535
## 383 70.36451 2376.4535
## 384 70.36451 2376.4535
## 385 96.92197 217.1512
## 386 96.92197 217.1512
## 387 96.92197 217.1512
## 388 96.92197 217.1512
## 389 96.92197 217.1512
## 390 96.92197 217.1512
## 391 96.92197 217.1512
## 392 96.92197 217.1512
## 393 96.92197 217.1512
## 394 96.92197 217.1512
## 395 96.92197 217.1512
## 396 96.92197 217.1512
## 397 96.92197 217.1512
## 398 96.92197 217.1512
## 399 96.92197 217.1512
## 400 96.92197 217.1512
## 401 96.92197 217.1512
## 402 96.92197 217.1512
## 403 96.92197 217.1512
## 404 96.92197 217.1512
## 405 96.92197 217.1512
## 406 96.92197 217.1512
## 407 96.92197 217.1512
## 408 96.92197 217.1512
## 409 184.49614 3488.3721
## 410 184.49614 3488.3721
## 411 184.49614 3488.3721
## 412 184.49614 3488.3721
## 413 184.49614 3488.3721
## 414 184.49614 3488.3721
## 415 184.49614 3488.3721
## 416 184.49614 3488.3721
## 417 184.49614 3488.3721
## 418 184.49614 3488.3721
## 419 184.49614 3488.3721
## 420 184.49614 3488.3721
## 421 184.49614 3488.3721
## 422 184.49614 3488.3721
## 423 184.49614 3488.3721
## 424 184.49614 3488.3721
## 425 184.49614 3488.3721
## 426 184.49614 3488.3721
## 427 184.49614 3488.3721
## 428 184.49614 3488.3721
## 429 184.49614 3488.3721
## 430 184.49614 3488.3721
## 431 184.49614 3488.3721
## 432 184.49614 3488.3721
## 433 183.48227 3715.1163
## 434 183.48227 3715.1163
## 435 183.48227 3715.1163
## 436 183.48227 3715.1163
## 437 183.48227 3715.1163
## 438 183.48227 3715.1163
## 439 183.48227 3715.1163
## 440 183.48227 3715.1163
## 441 183.48227 3715.1163
## 442 183.48227 3715.1163
## 443 183.48227 3715.1163
## 444 183.48227 3715.1163
## 445 183.48227 3715.1163
## 446 183.48227 3715.1163
## 447 183.48227 3715.1163
## 448 183.48227 3715.1163
## 449 183.48227 3715.1163
## 450 183.48227 3715.1163
## 451 183.48227 3715.1163
## 452 183.48227 3715.1163
## 453 183.48227 3715.1163
## 454 183.48227 3715.1163
## 455 183.48227 3715.1163
## 456 183.48227 3715.1163
## 457 141.08208 4491.2791
## 458 141.08208 4491.2791
## 459 141.08208 4491.2791
## 460 141.08208 4491.2791
## 461 141.08208 4491.2791
## 462 141.08208 4491.2791
## 463 141.08208 4491.2791
## 464 141.08208 4491.2791
## 465 141.08208 4491.2791
## 466 141.08208 4491.2791
## 467 141.08208 4491.2791
## 468 141.08208 4491.2791
## 469 141.08208 4491.2791
## 470 141.08208 4491.2791
## 471 141.08208 4491.2791
## 472 141.08208 4491.2791
## 473 141.08208 4491.2791
## 474 141.08208 4491.2791
## 475 141.08208 4491.2791
## 476 141.08208 4491.2791
## 477 141.08208 4491.2791
## 478 141.08208 4491.2791
## 479 141.08208 4491.2791
## 480 141.08208 4491.2791
## 481 156.15050 5768.0233
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## 1672 59.54311 4360.4651
## 1673 59.54311 4360.4651
## 1674 59.54311 4360.4651
## 1675 59.54311 4360.4651
## 1676 59.54311 4360.4651
## 1677 59.54311 4360.4651
## 1678 59.54311 4360.4651
## 1679 59.54311 4360.4651
## 1680 59.54311 4360.4651
## 1681 39.67455 1090.1163
## 1682 39.67455 1090.1163
## 1683 39.67455 1090.1163
## 1684 39.67455 1090.1163
## 1685 39.67455 1090.1163
## 1686 39.67455 1090.1163
## 1687 39.67455 1090.1163
## 1688 39.67455 1090.1163
## 1689 39.67455 1090.1163
## 1690 39.67455 1090.1163
## 1691 39.67455 1090.1163
## 1692 39.67455 1090.1163
## 1693 39.67455 1090.1163
## 1694 39.67455 1090.1163
## 1695 39.67455 1090.1163
## 1696 39.67455 1090.1163
## 1697 39.67455 1090.1163
## 1698 39.67455 1090.1163
## 1699 39.67455 1090.1163
## 1700 39.67455 1090.1163
## 1701 39.67455 1090.1163
## 1702 39.67455 1090.1163
## 1703 39.67455 1090.1163
## 1704 39.67455 1090.1163
## 1705 31.70159 2180.2326
## 1706 31.70159 2180.2326
## 1707 31.70159 2180.2326
## 1708 31.70159 2180.2326
## 1709 31.70159 2180.2326
## 1710 31.70159 2180.2326
## 1711 31.70159 2180.2326
## 1712 31.70159 2180.2326
## 1713 31.70159 2180.2326
## 1714 31.70159 2180.2326
## 1715 31.70159 2180.2326
## 1716 31.70159 2180.2326
## 1717 31.70159 2180.2326
## 1718 31.70159 2180.2326
## 1719 31.70159 2180.2326
## 1720 31.70159 2180.2326
## 1721 31.70159 2180.2326
## 1722 31.70159 2180.2326
## 1723 31.70159 2180.2326
## 1724 31.70159 2180.2326
## 1725 31.70159 2180.2326
## 1726 31.70159 2180.2326
## 1727 31.70159 2180.2326
## 1728 31.70159 2180.2326
## 1729 96.92197 217.1512
## 1730 96.92197 217.1512
## 1731 96.92197 217.1512
## 1732 96.92197 217.1512
## 1733 96.92197 217.1512
## 1734 96.92197 217.1512
## 1735 96.92197 217.1512
## 1736 96.92197 217.1512
## 1737 96.92197 217.1512
## 1738 96.92197 217.1512
## 1739 96.92197 217.1512
## 1740 96.92197 217.1512
## 1741 96.92197 217.1512
## 1742 96.92197 217.1512
## 1743 96.92197 217.1512
## 1744 96.92197 217.1512
## 1745 96.92197 217.1512
## 1746 96.92197 217.1512
## 1747 96.92197 217.1512
## 1748 96.92197 217.1512
## 1749 96.92197 217.1512
## 1750 96.92197 217.1512
## 1751 96.92197 217.1512
## 1752 96.92197 217.1512
## 1753 115.04038 1090.1163
## 1754 115.04038 1090.1163
## 1755 115.04038 1090.1163
## 1756 115.04038 1090.1163
## 1757 115.04038 1090.1163
## 1758 115.04038 1090.1163
## 1759 115.04038 1090.1163
## 1760 115.04038 1090.1163
## 1761 115.04038 1090.1163
## 1762 115.04038 1090.1163
## 1763 115.04038 1090.1163
## 1764 115.04038 1090.1163
## 1765 115.04038 1090.1163
## 1766 115.04038 1090.1163
## 1767 115.04038 1090.1163
## 1768 115.04038 1090.1163
## 1769 115.04038 1090.1163
## 1770 115.04038 1090.1163
## 1771 115.04038 1090.1163
## 1772 115.04038 1090.1163
## 1773 115.04038 1090.1163
## 1774 115.04038 1090.1163
## 1775 115.04038 1090.1163
## 1776 115.04038 1090.1163
## 1777 170.95069 2886.6279
## 1778 170.95069 2886.6279
## 1779 170.95069 2886.6279
## 1780 170.95069 2886.6279
## 1781 170.95069 2886.6279
## 1782 170.95069 2886.6279
## 1783 170.95069 2886.6279
## 1784 170.95069 2886.6279
## 1785 170.95069 2886.6279
## 1786 170.95069 2886.6279
## 1787 170.95069 2886.6279
## 1788 170.95069 2886.6279
## 1789 170.95069 2886.6279
## 1790 170.95069 2886.6279
## 1791 170.95069 2886.6279
## 1792 170.95069 2886.6279
## 1793 170.95069 2886.6279
## 1794 170.95069 2886.6279
## 1795 170.95069 2886.6279
## 1796 170.95069 2886.6279
## 1797 170.95069 2886.6279
## 1798 170.95069 2886.6279
## 1799 170.95069 2886.6279
## 1800 170.95069 2886.6279
## 1801 207.04408 2616.2791
## 1802 207.04408 2616.2791
## 1803 207.04408 2616.2791
## 1804 207.04408 2616.2791
## 1805 207.04408 2616.2791
## 1806 207.04408 2616.2791
## 1807 207.04408 2616.2791
## 1808 207.04408 2616.2791
## 1809 207.04408 2616.2791
## 1810 207.04408 2616.2791
## 1811 207.04408 2616.2791
## 1812 207.04408 2616.2791
## 1813 207.04408 2616.2791
## 1814 207.04408 2616.2791
## 1815 207.04408 2616.2791
## 1816 207.04408 2616.2791
## 1817 207.04408 2616.2791
## 1818 207.04408 2616.2791
## 1819 207.04408 2616.2791
## 1820 207.04408 2616.2791
## 1821 207.04408 2616.2791
## 1822 207.04408 2616.2791
## 1823 207.04408 2616.2791
## 1824 207.04408 2616.2791
## 1825 204.76185 1090.1163
## 1826 204.76185 1090.1163
## 1827 204.76185 1090.1163
## 1828 204.76185 1090.1163
## 1829 204.76185 1090.1163
## 1830 204.76185 1090.1163
## 1831 204.76185 1090.1163
## 1832 204.76185 1090.1163
## 1833 204.76185 1090.1163
## 1834 204.76185 1090.1163
## 1835 204.76185 1090.1163
## 1836 204.76185 1090.1163
## 1837 204.76185 1090.1163
## 1838 204.76185 1090.1163
## 1839 204.76185 1090.1163
## 1840 204.76185 1090.1163
## 1841 204.76185 1090.1163
## 1842 204.76185 1090.1163
## 1843 204.76185 1090.1163
## 1844 204.76185 1090.1163
## 1845 204.76185 1090.1163
## 1846 204.76185 1090.1163
## 1847 204.76185 1090.1163
## 1848 204.76185 1090.1163
## 1849 170.47197 2162.7907
## 1850 170.47197 2162.7907
## 1851 170.47197 2162.7907
## 1852 170.47197 2162.7907
## 1853 170.47197 2162.7907
## 1854 170.47197 2162.7907
## 1855 170.47197 2162.7907
## 1856 170.47197 2162.7907
## 1857 170.47197 2162.7907
## 1858 170.47197 2162.7907
## 1859 170.47197 2162.7907
## 1860 170.47197 2162.7907
## 1861 170.47197 2162.7907
## 1862 170.47197 2162.7907
## 1863 170.47197 2162.7907
## 1864 170.47197 2162.7907
## 1865 170.47197 2162.7907
## 1866 170.47197 2162.7907
## 1867 170.47197 2162.7907
## 1868 170.47197 2162.7907
## 1869 170.47197 2162.7907
## 1870 170.47197 2162.7907
## 1871 170.47197 2162.7907
## 1872 170.47197 2162.7907
## 1873 149.52700 4329.9419
## 1874 149.52700 4329.9419
## 1875 149.52700 4329.9419
## 1876 149.52700 4329.9419
## 1877 149.52700 4329.9419
## 1878 149.52700 4329.9419
## 1879 149.52700 4329.9419
## 1880 149.52700 4329.9419
## 1881 149.52700 4329.9419
## 1882 149.52700 4329.9419
## 1883 149.52700 4329.9419
## 1884 149.52700 4329.9419
## 1885 149.52700 4329.9419
## 1886 149.52700 4329.9419
## 1887 149.52700 4329.9419
## 1888 149.52700 4329.9419
## 1889 149.52700 4329.9419
## 1890 149.52700 4329.9419
## 1891 149.52700 4329.9419
## 1892 149.52700 4329.9419
## 1893 149.52700 4329.9419
## 1894 149.52700 4329.9419
## 1895 149.52700 4329.9419
## 1896 149.52700 4329.9419
## 1897 110.26880 3920.0581
## 1898 110.26880 3920.0581
## 1899 110.26880 3920.0581
## 1900 110.26880 3920.0581
## 1901 110.26880 3920.0581
## 1902 110.26880 3920.0581
## 1903 110.26880 3920.0581
## 1904 110.26880 3920.0581
## 1905 110.26880 3920.0581
## 1906 110.26880 3920.0581
## 1907 110.26880 3920.0581
## 1908 110.26880 3920.0581
## 1909 110.26880 3920.0581
## 1910 110.26880 3920.0581
## 1911 110.26880 3920.0581
## 1912 110.26880 3920.0581
## 1913 110.26880 3920.0581
## 1914 110.26880 3920.0581
## 1915 110.26880 3920.0581
## 1916 110.26880 3920.0581
## 1917 110.26880 3920.0581
## 1918 110.26880 3920.0581
## 1919 110.26880 3920.0581
## 1920 110.26880 3920.0581
## 1921 96.92197 217.1512
## 1922 96.92197 217.1512
## 1923 96.92197 217.1512
## 1924 96.92197 217.1512
## 1925 96.92197 217.1512
## 1926 96.92197 217.1512
## 1927 96.92197 217.1512
## 1928 96.92197 217.1512
## 1929 96.92197 217.1512
## 1930 96.92197 217.1512
## 1931 96.92197 217.1512
## 1932 96.92197 217.1512
## 1933 96.92197 217.1512
## 1934 96.92197 217.1512
## 1935 96.92197 217.1512
## 1936 96.92197 217.1512
## 1937 96.92197 217.1512
## 1938 96.92197 217.1512
## 1939 96.92197 217.1512
## 1940 96.92197 217.1512
## 1941 96.92197 217.1512
## 1942 96.92197 217.1512
## 1943 96.92197 217.1512
## 1944 96.92197 217.1512
## 1945 151.39694 1473.8372
## 1946 151.39694 1473.8372
## 1947 151.39694 1473.8372
## 1948 151.39694 1473.8372
## 1949 151.39694 1473.8372
## 1950 151.39694 1473.8372
## 1951 151.39694 1473.8372
## 1952 151.39694 1473.8372
## 1953 151.39694 1473.8372
## 1954 151.39694 1473.8372
## 1955 151.39694 1473.8372
## 1956 151.39694 1473.8372
## 1957 151.39694 1473.8372
## 1958 151.39694 1473.8372
## 1959 151.39694 1473.8372
## 1960 151.39694 1473.8372
## 1961 151.39694 1473.8372
## 1962 151.39694 1473.8372
## 1963 151.39694 1473.8372
## 1964 151.39694 1473.8372
## 1965 151.39694 1473.8372
## 1966 151.39694 1473.8372
## 1967 151.39694 1473.8372
## 1968 151.39694 1473.8372
## 1969 158.17674 2502.9070
## 1970 158.17674 2502.9070
## 1971 158.17674 2502.9070
## 1972 158.17674 2502.9070
## 1973 158.17674 2502.9070
## 1974 158.17674 2502.9070
## 1975 158.17674 2502.9070
## 1976 158.17674 2502.9070
## 1977 158.17674 2502.9070
## 1978 158.17674 2502.9070
## 1979 158.17674 2502.9070
## 1980 158.17674 2502.9070
## 1981 158.17674 2502.9070
## 1982 158.17674 2502.9070
## 1983 158.17674 2502.9070
## 1984 158.17674 2502.9070
## 1985 158.17674 2502.9070
## 1986 158.17674 2502.9070
## 1987 158.17674 2502.9070
## 1988 158.17674 2502.9070
## 1989 158.17674 2502.9070
## 1990 158.17674 2502.9070
## 1991 158.17674 2502.9070
## 1992 158.17674 2502.9070
## 1993 196.58628 3388.9535
## 1994 196.58628 3388.9535
## 1995 196.58628 3388.9535
## 1996 196.58628 3388.9535
## 1997 196.58628 3388.9535
## 1998 196.58628 3388.9535
## 1999 196.58628 3388.9535
## 2000 196.58628 3388.9535
## 2001 196.58628 3388.9535
## 2002 196.58628 3388.9535
## 2003 196.58628 3388.9535
## 2004 196.58628 3388.9535
## 2005 196.58628 3388.9535
## 2006 196.58628 3388.9535
## 2007 196.58628 3388.9535
## 2008 196.58628 3388.9535
## 2009 196.58628 3388.9535
## 2010 196.58628 3388.9535
## 2011 196.58628 3388.9535
## 2012 196.58628 3388.9535
## 2013 196.58628 3388.9535
## 2014 196.58628 3388.9535
## 2015 196.58628 3388.9535
## 2016 196.58628 3388.9535
## 2017 136.02956 3584.3023
## 2018 136.02956 3584.3023
## 2019 136.02956 3584.3023
## 2020 136.02956 3584.3023
## 2021 136.02956 3584.3023
## 2022 136.02956 3584.3023
## 2023 136.02956 3584.3023
## 2024 136.02956 3584.3023
## 2025 136.02956 3584.3023
## 2026 136.02956 3584.3023
## 2027 136.02956 3584.3023
## 2028 136.02956 3584.3023
## 2029 136.02956 3584.3023
## 2030 136.02956 3584.3023
## 2031 136.02956 3584.3023
## 2032 136.02956 3584.3023
## 2033 136.02956 3584.3023
## 2034 136.02956 3584.3023
## 2035 136.02956 3584.3023
## 2036 136.02956 3584.3023
## 2037 136.02956 3584.3023
## 2038 136.02956 3584.3023
## 2039 136.02956 3584.3023
## 2040 136.02956 3584.3023
## 2041 116.45107 3750.0000
## 2042 116.45107 3750.0000
## 2043 116.45107 3750.0000
## 2044 116.45107 3750.0000
## 2045 116.45107 3750.0000
## 2046 116.45107 3750.0000
## 2047 116.45107 3750.0000
## 2048 116.45107 3750.0000
## 2049 116.45107 3750.0000
## 2050 116.45107 3750.0000
## 2051 116.45107 3750.0000
## 2052 116.45107 3750.0000
## 2053 116.45107 3750.0000
## 2054 116.45107 3750.0000
## 2055 116.45107 3750.0000
## 2056 116.45107 3750.0000
## 2057 116.45107 3750.0000
## 2058 116.45107 3750.0000
## 2059 116.45107 3750.0000
## 2060 116.45107 3750.0000
## 2061 116.45107 3750.0000
## 2062 116.45107 3750.0000
## 2063 116.45107 3750.0000
## 2064 116.45107 3750.0000
## 2065 102.05987 2768.8953
## 2066 102.05987 2768.8953
## 2067 102.05987 2768.8953
## 2068 102.05987 2768.8953
## 2069 102.05987 2768.8953
## 2070 102.05987 2768.8953
## 2071 102.05987 2768.8953
## 2072 102.05987 2768.8953
## 2073 102.05987 2768.8953
## 2074 102.05987 2768.8953
## 2075 102.05987 2768.8953
## 2076 102.05987 2768.8953
## 2077 102.05987 2768.8953
## 2078 102.05987 2768.8953
## 2079 102.05987 2768.8953
## 2080 102.05987 2768.8953
## 2081 102.05987 2768.8953
## 2082 102.05987 2768.8953
## 2083 102.05987 2768.8953
## 2084 102.05987 2768.8953
## 2085 102.05987 2768.8953
## 2086 102.05987 2768.8953
## 2087 102.05987 2768.8953
## 2088 102.05987 2768.8953
## 2089 93.36916 1748.5465
## 2090 93.36916 1748.5465
## 2091 93.36916 1748.5465
## 2092 93.36916 1748.5465
## 2093 93.36916 1748.5465
## 2094 93.36916 1748.5465
## 2095 93.36916 1748.5465
## 2096 93.36916 1748.5465
## 2097 93.36916 1748.5465
## 2098 93.36916 1748.5465
## 2099 93.36916 1748.5465
## 2100 93.36916 1748.5465
## 2101 93.36916 1748.5465
## 2102 93.36916 1748.5465
## 2103 93.36916 1748.5465
## 2104 93.36916 1748.5465
## 2105 93.36916 1748.5465
## 2106 93.36916 1748.5465
## 2107 93.36916 1748.5465
## 2108 93.36916 1748.5465
## 2109 93.36916 1748.5465
## 2110 93.36916 1748.5465
## 2111 93.36916 1748.5465
## 2112 93.36916 1748.5465
## 2113 96.92197 217.1512
## 2114 96.92197 217.1512
## 2115 96.92197 217.1512
## 2116 96.92197 217.1512
## 2117 96.92197 217.1512
## 2118 96.92197 217.1512
## 2119 96.92197 217.1512
## 2120 96.92197 217.1512
## 2121 96.92197 217.1512
## 2122 96.92197 217.1512
## 2123 96.92197 217.1512
## 2124 96.92197 217.1512
## 2125 96.92197 217.1512
## 2126 96.92197 217.1512
## 2127 96.92197 217.1512
## 2128 96.92197 217.1512
## 2129 96.92197 217.1512
## 2130 96.92197 217.1512
## 2131 96.92197 217.1512
## 2132 96.92197 217.1512
## 2133 96.92197 217.1512
## 2134 96.92197 217.1512
## 2135 96.92197 217.1512
## 2136 96.92197 217.1512
## 2137 228.26879 5973.8372
## 2138 228.26879 5973.8372
## 2139 228.26879 5973.8372
## 2140 228.26879 5973.8372
## 2141 228.26879 5973.8372
## 2142 228.26879 5973.8372
## 2143 228.26879 5973.8372
## 2144 228.26879 5973.8372
## 2145 228.26879 5973.8372
## 2146 228.26879 5973.8372
## 2147 228.26879 5973.8372
## 2148 228.26879 5973.8372
## 2149 228.26879 5973.8372
## 2150 228.26879 5973.8372
## 2151 228.26879 5973.8372
## 2152 228.26879 5973.8372
## 2153 228.26879 5973.8372
## 2154 228.26879 5973.8372
## 2155 228.26879 5973.8372
## 2156 228.26879 5973.8372
## 2157 228.26879 5973.8372
## 2158 228.26879 5973.8372
## 2159 228.26879 5973.8372
## 2160 228.26879 5973.8372
## 2161 128.33997 3008.7209
## 2162 128.33997 3008.7209
## 2163 128.33997 3008.7209
## 2164 128.33997 3008.7209
## 2165 128.33997 3008.7209
## 2166 128.33997 3008.7209
## 2167 128.33997 3008.7209
## 2168 128.33997 3008.7209
## 2169 128.33997 3008.7209
## 2170 128.33997 3008.7209
## 2171 128.33997 3008.7209
## 2172 128.33997 3008.7209
## 2173 128.33997 3008.7209
## 2174 128.33997 3008.7209
## 2175 128.33997 3008.7209
## 2176 128.33997 3008.7209
## 2177 128.33997 3008.7209
## 2178 128.33997 3008.7209
## 2179 128.33997 3008.7209
## 2180 128.33997 3008.7209
## 2181 128.33997 3008.7209
## 2182 128.33997 3008.7209
## 2183 128.33997 3008.7209
## 2184 128.33997 3008.7209
## 2185 223.90932 4967.4419
## 2186 223.90932 4967.4419
## 2187 223.90932 4967.4419
## 2188 223.90932 4967.4419
## 2189 223.90932 4967.4419
## 2190 223.90932 4967.4419
## 2191 223.90932 4967.4419
## 2192 223.90932 4967.4419
## 2193 223.90932 4967.4419
## 2194 223.90932 4967.4419
## 2195 223.90932 4967.4419
## 2196 223.90932 4967.4419
## 2197 223.90932 4967.4419
## 2198 223.90932 4967.4419
## 2199 223.90932 4967.4419
## 2200 223.90932 4967.4419
## 2201 223.90932 4967.4419
## 2202 223.90932 4967.4419
## 2203 223.90932 4967.4419
## 2204 223.90932 4967.4419
## 2205 223.90932 4967.4419
## 2206 223.90932 4967.4419
## 2207 223.90932 4967.4419
## 2208 223.90932 4967.4419
## 2209 172.69644 3008.7209
## 2210 172.69644 3008.7209
## 2211 172.69644 3008.7209
## 2212 172.69644 3008.7209
## 2213 172.69644 3008.7209
## 2214 172.69644 3008.7209
## 2215 172.69644 3008.7209
## 2216 172.69644 3008.7209
## 2217 172.69644 3008.7209
## 2218 172.69644 3008.7209
## 2219 172.69644 3008.7209
## 2220 172.69644 3008.7209
## 2221 172.69644 3008.7209
## 2222 172.69644 3008.7209
## 2223 172.69644 3008.7209
## 2224 172.69644 3008.7209
## 2225 172.69644 3008.7209
## 2226 172.69644 3008.7209
## 2227 172.69644 3008.7209
## 2228 172.69644 3008.7209
## 2229 172.69644 3008.7209
## 2230 172.69644 3008.7209
## 2231 172.69644 3008.7209
## 2232 172.69644 3008.7209
## 2233 118.59016 2659.8837
## 2234 118.59016 2659.8837
## 2235 118.59016 2659.8837
## 2236 118.59016 2659.8837
## 2237 118.59016 2659.8837
## 2238 118.59016 2659.8837
## 2239 118.59016 2659.8837
## 2240 118.59016 2659.8837
## 2241 118.59016 2659.8837
## 2242 118.59016 2659.8837
## 2243 118.59016 2659.8837
## 2244 118.59016 2659.8837
## 2245 118.59016 2659.8837
## 2246 118.59016 2659.8837
## 2247 118.59016 2659.8837
## 2248 118.59016 2659.8837
## 2249 118.59016 2659.8837
## 2250 118.59016 2659.8837
## 2251 118.59016 2659.8837
## 2252 118.59016 2659.8837
## 2253 118.59016 2659.8837
## 2254 118.59016 2659.8837
## 2255 118.59016 2659.8837
## 2256 118.59016 2659.8837
## 2257 103.83993 4765.9884
## 2258 103.83993 4765.9884
## 2259 103.83993 4765.9884
## 2260 103.83993 4765.9884
## 2261 103.83993 4765.9884
## 2262 103.83993 4765.9884
## 2263 103.83993 4765.9884
## 2264 103.83993 4765.9884
## 2265 103.83993 4765.9884
## 2266 103.83993 4765.9884
## 2267 103.83993 4765.9884
## 2268 103.83993 4765.9884
## 2269 103.83993 4765.9884
## 2270 103.83993 4765.9884
## 2271 103.83993 4765.9884
## 2272 103.83993 4765.9884
## 2273 103.83993 4765.9884
## 2274 103.83993 4765.9884
## 2275 103.83993 4765.9884
## 2276 103.83993 4765.9884
## 2277 103.83993 4765.9884
## 2278 103.83993 4765.9884
## 2279 103.83993 4765.9884
## 2280 103.83993 4765.9884
## 2281 71.13194 2376.4535
## 2282 71.13194 2376.4535
## 2283 71.13194 2376.4535
## 2284 71.13194 2376.4535
## 2285 71.13194 2376.4535
## 2286 71.13194 2376.4535
## 2287 71.13194 2376.4535
## 2288 71.13194 2376.4535
## 2289 71.13194 2376.4535
## 2290 71.13194 2376.4535
## 2291 71.13194 2376.4535
## 2292 71.13194 2376.4535
## 2293 71.13194 2376.4535
## 2294 71.13194 2376.4535
## 2295 71.13194 2376.4535
## 2296 71.13194 2376.4535
## 2297 71.13194 2376.4535
## 2298 71.13194 2376.4535
## 2299 71.13194 2376.4535
## 2300 71.13194 2376.4535
## 2301 71.13194 2376.4535
## 2302 71.13194 2376.4535
## 2303 71.13194 2376.4535
## 2304 71.13194 2376.4535
## 2305 96.92197 217.1512
## 2306 96.92197 217.1512
## 2307 96.92197 217.1512
## 2308 96.92197 217.1512
## 2309 96.92197 217.1512
## 2310 96.92197 217.1512
## 2311 96.92197 217.1512
## 2312 96.92197 217.1512
## 2313 96.92197 217.1512
## 2314 96.92197 217.1512
## 2315 96.92197 217.1512
## 2316 96.92197 217.1512
## 2317 96.92197 217.1512
## 2318 96.92197 217.1512
## 2319 96.92197 217.1512
## 2320 96.92197 217.1512
## 2321 96.92197 217.1512
## 2322 96.92197 217.1512
## 2323 96.92197 217.1512
## 2324 96.92197 217.1512
## 2325 96.92197 217.1512
## 2326 96.92197 217.1512
## 2327 96.92197 217.1512
## 2328 96.92197 217.1512
## 2329 182.98473 3924.4186
## 2330 182.98473 3924.4186
## 2331 182.98473 3924.4186
## 2332 182.98473 3924.4186
## 2333 182.98473 3924.4186
## 2334 182.98473 3924.4186
## 2335 182.98473 3924.4186
## 2336 182.98473 3924.4186
## 2337 182.98473 3924.4186
## 2338 182.98473 3924.4186
## 2339 182.98473 3924.4186
## 2340 182.98473 3924.4186
## 2341 182.98473 3924.4186
## 2342 182.98473 3924.4186
## 2343 182.98473 3924.4186
## 2344 182.98473 3924.4186
## 2345 182.98473 3924.4186
## 2346 182.98473 3924.4186
## 2347 182.98473 3924.4186
## 2348 182.98473 3924.4186
## 2349 182.98473 3924.4186
## 2350 182.98473 3924.4186
## 2351 182.98473 3924.4186
## 2352 182.98473 3924.4186
## 2353 178.56595 3819.7674
## 2354 178.56595 3819.7674
## 2355 178.56595 3819.7674
## 2356 178.56595 3819.7674
## 2357 178.56595 3819.7674
## 2358 178.56595 3819.7674
## 2359 178.56595 3819.7674
## 2360 178.56595 3819.7674
## 2361 178.56595 3819.7674
## 2362 178.56595 3819.7674
## 2363 178.56595 3819.7674
## 2364 178.56595 3819.7674
## 2365 178.56595 3819.7674
## 2366 178.56595 3819.7674
## 2367 178.56595 3819.7674
## 2368 178.56595 3819.7674
## 2369 178.56595 3819.7674
## 2370 178.56595 3819.7674
## 2371 178.56595 3819.7674
## 2372 178.56595 3819.7674
## 2373 178.56595 3819.7674
## 2374 178.56595 3819.7674
## 2375 178.56595 3819.7674
## 2376 178.56595 3819.7674
## 2377 155.63806 4705.8140
## 2378 155.63806 4705.8140
## 2379 155.63806 4705.8140
## 2380 155.63806 4705.8140
## 2381 155.63806 4705.8140
## 2382 155.63806 4705.8140
## 2383 155.63806 4705.8140
## 2384 155.63806 4705.8140
## 2385 155.63806 4705.8140
## 2386 155.63806 4705.8140
## 2387 155.63806 4705.8140
## 2388 155.63806 4705.8140
## 2389 155.63806 4705.8140
## 2390 155.63806 4705.8140
## 2391 155.63806 4705.8140
## 2392 155.63806 4705.8140
## 2393 155.63806 4705.8140
## 2394 155.63806 4705.8140
## 2395 155.63806 4705.8140
## 2396 155.63806 4705.8140
## 2397 155.63806 4705.8140
## 2398 155.63806 4705.8140
## 2399 155.63806 4705.8140
## 2400 155.63806 4705.8140
## 2401 151.89425 5345.9302
## 2402 151.89425 5345.9302
## 2403 151.89425 5345.9302
## 2404 151.89425 5345.9302
## 2405 151.89425 5345.9302
## 2406 151.89425 5345.9302
## 2407 151.89425 5345.9302
## 2408 151.89425 5345.9302
## 2409 151.89425 5345.9302
## 2410 151.89425 5345.9302
## 2411 151.89425 5345.9302
## 2412 151.89425 5345.9302
## 2413 151.89425 5345.9302
## 2414 151.89425 5345.9302
## 2415 151.89425 5345.9302
## 2416 151.89425 5345.9302
## 2417 151.89425 5345.9302
## 2418 151.89425 5345.9302
## 2419 151.89425 5345.9302
## 2420 151.89425 5345.9302
## 2421 151.89425 5345.9302
## 2422 151.89425 5345.9302
## 2423 151.89425 5345.9302
## 2424 151.89425 5345.9302
## 2425 139.29522 7709.3023
## 2426 139.29522 7709.3023
## 2427 139.29522 7709.3023
## 2428 139.29522 7709.3023
## 2429 139.29522 7709.3023
## 2430 139.29522 7709.3023
## 2431 139.29522 7709.3023
## 2432 139.29522 7709.3023
## 2433 139.29522 7709.3023
## 2434 139.29522 7709.3023
## 2435 139.29522 7709.3023
## 2436 139.29522 7709.3023
## 2437 139.29522 7709.3023
## 2438 139.29522 7709.3023
## 2439 139.29522 7709.3023
## 2440 139.29522 7709.3023
## 2441 139.29522 7709.3023
## 2442 139.29522 7709.3023
## 2443 139.29522 7709.3023
## 2444 139.29522 7709.3023
## 2445 139.29522 7709.3023
## 2446 139.29522 7709.3023
## 2447 139.29522 7709.3023
## 2448 139.29522 7709.3023
## 2449 98.85688 3553.7791
## 2450 98.85688 3553.7791
## 2451 98.85688 3553.7791
## 2452 98.85688 3553.7791
## 2453 98.85688 3553.7791
## 2454 98.85688 3553.7791
## 2455 98.85688 3553.7791
## 2456 98.85688 3553.7791
## 2457 98.85688 3553.7791
## 2458 98.85688 3553.7791
## 2459 98.85688 3553.7791
## 2460 98.85688 3553.7791
## 2461 98.85688 3553.7791
## 2462 98.85688 3553.7791
## 2463 98.85688 3553.7791
## 2464 98.85688 3553.7791
## 2465 98.85688 3553.7791
## 2466 98.85688 3553.7791
## 2467 98.85688 3553.7791
## 2468 98.85688 3553.7791
## 2469 98.85688 3553.7791
## 2470 98.85688 3553.7791
## 2471 98.85688 3553.7791
## 2472 98.85688 3553.7791
## 2473 141.87810 2180.2326
## 2474 141.87810 2180.2326
## 2475 141.87810 2180.2326
## 2476 141.87810 2180.2326
## 2477 141.87810 2180.2326
## 2478 141.87810 2180.2326
## 2479 141.87810 2180.2326
## 2480 141.87810 2180.2326
## 2481 141.87810 2180.2326
## 2482 141.87810 2180.2326
## 2483 141.87810 2180.2326
## 2484 141.87810 2180.2326
## 2485 141.87810 2180.2326
## 2486 141.87810 2180.2326
## 2487 141.87810 2180.2326
## 2488 141.87810 2180.2326
## 2489 141.87810 2180.2326
## 2490 141.87810 2180.2326
## 2491 141.87810 2180.2326
## 2492 141.87810 2180.2326
## 2493 141.87810 2180.2326
## 2494 141.87810 2180.2326
## 2495 141.87810 2180.2326
## 2496 141.87810 2180.2326
## 2497 96.92197 217.1512
## 2498 96.92197 217.1512
## 2499 96.92197 217.1512
## 2500 96.92197 217.1512
## 2501 96.92197 217.1512
## 2502 96.92197 217.1512
## 2503 96.92197 217.1512
## 2504 96.92197 217.1512
## 2505 96.92197 217.1512
## 2506 96.92197 217.1512
## 2507 96.92197 217.1512
## 2508 96.92197 217.1512
## 2509 96.92197 217.1512
## 2510 96.92197 217.1512
## 2511 96.92197 217.1512
## 2512 96.92197 217.1512
## 2513 96.92197 217.1512
## 2514 96.92197 217.1512
## 2515 96.92197 217.1512
## 2516 96.92197 217.1512
## 2517 96.92197 217.1512
## 2518 96.92197 217.1512
## 2519 96.92197 217.1512
## 2520 96.92197 217.1512
## 2521 114.40392 1744.1860
## 2522 114.40392 1744.1860
## 2523 114.40392 1744.1860
## 2524 114.40392 1744.1860
## 2525 114.40392 1744.1860
## 2526 114.40392 1744.1860
## 2527 114.40392 1744.1860
## 2528 114.40392 1744.1860
## 2529 114.40392 1744.1860
## 2530 114.40392 1744.1860
## 2531 114.40392 1744.1860
## 2532 114.40392 1744.1860
## 2533 114.40392 1744.1860
## 2534 114.40392 1744.1860
## 2535 114.40392 1744.1860
## 2536 114.40392 1744.1860
## 2537 114.40392 1744.1860
## 2538 114.40392 1744.1860
## 2539 114.40392 1744.1860
## 2540 114.40392 1744.1860
## 2541 114.40392 1744.1860
## 2542 114.40392 1744.1860
## 2543 114.40392 1744.1860
## 2544 114.40392 1744.1860
## 2545 156.49181 1412.7907
## 2546 156.49181 1412.7907
## 2547 156.49181 1412.7907
## 2548 156.49181 1412.7907
## 2549 156.49181 1412.7907
## 2550 156.49181 1412.7907
## 2551 156.49181 1412.7907
## 2552 156.49181 1412.7907
## 2553 156.49181 1412.7907
## 2554 156.49181 1412.7907
## 2555 156.49181 1412.7907
## 2556 156.49181 1412.7907
## 2557 156.49181 1412.7907
## 2558 156.49181 1412.7907
## 2559 156.49181 1412.7907
## 2560 156.49181 1412.7907
## 2561 156.49181 1412.7907
## 2562 156.49181 1412.7907
## 2563 156.49181 1412.7907
## 2564 156.49181 1412.7907
## 2565 156.49181 1412.7907
## 2566 156.49181 1412.7907
## 2567 156.49181 1412.7907
## 2568 156.49181 1412.7907
## 2569 112.16981 2612.7907
## 2570 112.16981 2612.7907
## 2571 112.16981 2612.7907
## 2572 112.16981 2612.7907
## 2573 112.16981 2612.7907
## 2574 112.16981 2612.7907
## 2575 112.16981 2612.7907
## 2576 112.16981 2612.7907
## 2577 112.16981 2612.7907
## 2578 112.16981 2612.7907
## 2579 112.16981 2612.7907
## 2580 112.16981 2612.7907
## 2581 112.16981 2612.7907
## 2582 112.16981 2612.7907
## 2583 112.16981 2612.7907
## 2584 112.16981 2612.7907
## 2585 112.16981 2612.7907
## 2586 112.16981 2612.7907
## 2587 112.16981 2612.7907
## 2588 112.16981 2612.7907
## 2589 112.16981 2612.7907
## 2590 112.16981 2612.7907
## 2591 112.16981 2612.7907
## 2592 112.16981 2612.7907
## 2593 151.62447 3680.2326
## 2594 151.62447 3680.2326
## 2595 151.62447 3680.2326
## 2596 151.62447 3680.2326
## 2597 151.62447 3680.2326
## 2598 151.62447 3680.2326
## 2599 151.62447 3680.2326
## 2600 151.62447 3680.2326
## 2601 151.62447 3680.2326
## 2602 151.62447 3680.2326
## 2603 151.62447 3680.2326
## 2604 151.62447 3680.2326
## 2605 151.62447 3680.2326
## 2606 151.62447 3680.2326
## 2607 151.62447 3680.2326
## 2608 151.62447 3680.2326
## 2609 151.62447 3680.2326
## 2610 151.62447 3680.2326
## 2611 151.62447 3680.2326
## 2612 151.62447 3680.2326
## 2613 151.62447 3680.2326
## 2614 151.62447 3680.2326
## 2615 151.62447 3680.2326
## 2616 151.62447 3680.2326
## 2617 59.47007 4360.4651
## 2618 59.47007 4360.4651
## 2619 59.47007 4360.4651
## 2620 59.47007 4360.4651
## 2621 59.47007 4360.4651
## 2622 59.47007 4360.4651
## 2623 59.47007 4360.4651
## 2624 59.47007 4360.4651
## 2625 59.47007 4360.4651
## 2626 59.47007 4360.4651
## 2627 59.47007 4360.4651
## 2628 59.47007 4360.4651
## 2629 59.47007 4360.4651
## 2630 59.47007 4360.4651
## 2631 59.47007 4360.4651
## total_metaecosystem_Cep_indiv total_metaecosystem_Col_indiv
## 1 1794.767 4812.20930
## 2 1794.767 4812.20930
## 3 1794.767 4812.20930
## 4 1794.767 4812.20930
## 5 1794.767 4812.20930
## 6 1794.767 4812.20930
## 7 1794.767 4812.20930
## 8 1794.767 4812.20930
## 9 1794.767 4812.20930
## 10 1794.767 4812.20930
## 11 1794.767 4812.20930
## 12 1794.767 4812.20930
## 13 1794.767 4812.20930
## 14 1794.767 4812.20930
## 15 1794.767 4812.20930
## 16 1794.767 4812.20930
## 17 1794.767 4812.20930
## 18 1794.767 4812.20930
## 19 1794.767 4812.20930
## 20 1794.767 4812.20930
## 21 1794.767 4812.20930
## 22 1794.767 4812.20930
## 23 1794.767 4812.20930
## 24 1794.767 4812.20930
## 25 8056.395 20305.81395
## 26 8056.395 20305.81395
## 27 8056.395 20305.81395
## 28 8056.395 20305.81395
## 29 8056.395 20305.81395
## 30 8056.395 20305.81395
## 31 8056.395 20305.81395
## 32 8056.395 20305.81395
## 33 8056.395 20305.81395
## 34 8056.395 20305.81395
## 35 8056.395 20305.81395
## 36 8056.395 20305.81395
## 37 8056.395 20305.81395
## 38 8056.395 20305.81395
## 39 8056.395 20305.81395
## 40 8056.395 20305.81395
## 41 8056.395 20305.81395
## 42 8056.395 20305.81395
## 43 8056.395 20305.81395
## 44 8056.395 20305.81395
## 45 8056.395 20305.81395
## 46 8056.395 20305.81395
## 47 8056.395 20305.81395
## 48 8056.395 20305.81395
## 49 11759.302 16356.97674
## 50 11759.302 16356.97674
## 51 11759.302 16356.97674
## 52 11759.302 16356.97674
## 53 11759.302 16356.97674
## 54 11759.302 16356.97674
## 55 11759.302 16356.97674
## 56 11759.302 16356.97674
## 57 11759.302 16356.97674
## 58 11759.302 16356.97674
## 59 11759.302 16356.97674
## 60 11759.302 16356.97674
## 61 11759.302 16356.97674
## 62 11759.302 16356.97674
## 63 11759.302 16356.97674
## 64 11759.302 16356.97674
## 65 11759.302 16356.97674
## 66 11759.302 16356.97674
## 67 11759.302 16356.97674
## 68 11759.302 16356.97674
## 69 11759.302 16356.97674
## 70 11759.302 16356.97674
## 71 11759.302 16356.97674
## 72 11759.302 16356.97674
## 73 6552.907 6973.25581
## 74 6552.907 6973.25581
## 75 6552.907 6973.25581
## 76 6552.907 6973.25581
## 77 6552.907 6973.25581
## 78 6552.907 6973.25581
## 79 6552.907 6973.25581
## 80 6552.907 6973.25581
## 81 6552.907 6973.25581
## 82 6552.907 6973.25581
## 83 6552.907 6973.25581
## 84 6552.907 6973.25581
## 85 6552.907 6973.25581
## 86 6552.907 6973.25581
## 87 6552.907 6973.25581
## 88 6552.907 6973.25581
## 89 6552.907 6973.25581
## 90 6552.907 6973.25581
## 91 6552.907 6973.25581
## 92 6552.907 6973.25581
## 93 6552.907 6973.25581
## 94 6552.907 6973.25581
## 95 6552.907 6973.25581
## 96 6552.907 6973.25581
## 97 9326.163 3912.20930
## 98 9326.163 3912.20930
## 99 9326.163 3912.20930
## 100 9326.163 3912.20930
## 101 9326.163 3912.20930
## 102 9326.163 3912.20930
## 103 9326.163 3912.20930
## 104 9326.163 3912.20930
## 105 9326.163 3912.20930
## 106 9326.163 3912.20930
## 107 9326.163 3912.20930
## 108 9326.163 3912.20930
## 109 9326.163 3912.20930
## 110 9326.163 3912.20930
## 111 9326.163 3912.20930
## 112 9326.163 3912.20930
## 113 9326.163 3912.20930
## 114 9326.163 3912.20930
## 115 9326.163 3912.20930
## 116 9326.163 3912.20930
## 117 9326.163 3912.20930
## 118 9326.163 3912.20930
## 119 9326.163 3912.20930
## 120 9326.163 3912.20930
## 121 9818.023 0.00000
## 122 9818.023 0.00000
## 123 9818.023 0.00000
## 124 9818.023 0.00000
## 125 9818.023 0.00000
## 126 9818.023 0.00000
## 127 9818.023 0.00000
## 128 9818.023 0.00000
## 129 9818.023 0.00000
## 130 9818.023 0.00000
## 131 9818.023 0.00000
## 132 9818.023 0.00000
## 133 9818.023 0.00000
## 134 9818.023 0.00000
## 135 9818.023 0.00000
## 136 9818.023 0.00000
## 137 9818.023 0.00000
## 138 9818.023 0.00000
## 139 9818.023 0.00000
## 140 9818.023 0.00000
## 141 9818.023 0.00000
## 142 9818.023 0.00000
## 143 9818.023 0.00000
## 144 9818.023 0.00000
## 145 15800.581 418.60465
## 146 15800.581 418.60465
## 147 15800.581 418.60465
## 148 15800.581 418.60465
## 149 15800.581 418.60465
## 150 15800.581 418.60465
## 151 15800.581 418.60465
## 152 15800.581 418.60465
## 153 15800.581 418.60465
## 154 15800.581 418.60465
## 155 15800.581 418.60465
## 156 15800.581 418.60465
## 157 15800.581 418.60465
## 158 15800.581 418.60465
## 159 15800.581 418.60465
## 160 15800.581 418.60465
## 161 15800.581 418.60465
## 162 15800.581 418.60465
## 163 15800.581 418.60465
## 164 15800.581 418.60465
## 165 15800.581 418.60465
## 166 15800.581 418.60465
## 167 15800.581 418.60465
## 168 15800.581 418.60465
## 169 15422.093 0.00000
## 170 15422.093 0.00000
## 171 15422.093 0.00000
## 172 15422.093 0.00000
## 173 15422.093 0.00000
## 174 15422.093 0.00000
## 175 15422.093 0.00000
## 176 15422.093 0.00000
## 177 15422.093 0.00000
## 178 15422.093 0.00000
## 179 15422.093 0.00000
## 180 15422.093 0.00000
## 181 15422.093 0.00000
## 182 15422.093 0.00000
## 183 15422.093 0.00000
## 184 15422.093 0.00000
## 185 15422.093 0.00000
## 186 15422.093 0.00000
## 187 15422.093 0.00000
## 188 15422.093 0.00000
## 189 15422.093 0.00000
## 190 15422.093 0.00000
## 191 15422.093 0.00000
## 192 15422.093 0.00000
## 193 1794.767 4812.20930
## 194 1794.767 4812.20930
## 195 1794.767 4812.20930
## 196 1794.767 4812.20930
## 197 1794.767 4812.20930
## 198 1794.767 4812.20930
## 199 1794.767 4812.20930
## 200 1794.767 4812.20930
## 201 1794.767 4812.20930
## 202 1794.767 4812.20930
## 203 1794.767 4812.20930
## 204 1794.767 4812.20930
## 205 1794.767 4812.20930
## 206 1794.767 4812.20930
## 207 1794.767 4812.20930
## 208 1794.767 4812.20930
## 209 1794.767 4812.20930
## 210 1794.767 4812.20930
## 211 1794.767 4812.20930
## 212 1794.767 4812.20930
## 213 1794.767 4812.20930
## 214 1794.767 4812.20930
## 215 1794.767 4812.20930
## 216 1794.767 4812.20930
## 217 9695.930 12404.65116
## 218 9695.930 12404.65116
## 219 9695.930 12404.65116
## 220 9695.930 12404.65116
## 221 9695.930 12404.65116
## 222 9695.930 12404.65116
## 223 9695.930 12404.65116
## 224 9695.930 12404.65116
## 225 9695.930 12404.65116
## 226 9695.930 12404.65116
## 227 9695.930 12404.65116
## 228 9695.930 12404.65116
## 229 9695.930 12404.65116
## 230 9695.930 12404.65116
## 231 9695.930 12404.65116
## 232 9695.930 12404.65116
## 233 9695.930 12404.65116
## 234 9695.930 12404.65116
## 235 9695.930 12404.65116
## 236 9695.930 12404.65116
## 237 9695.930 12404.65116
## 238 9695.930 12404.65116
## 239 9695.930 12404.65116
## 240 9695.930 12404.65116
## 241 12648.837 5159.30233
## 242 12648.837 5159.30233
## 243 12648.837 5159.30233
## 244 12648.837 5159.30233
## 245 12648.837 5159.30233
## 246 12648.837 5159.30233
## 247 12648.837 5159.30233
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## 1825 12760.465 613.95349
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## 1845 12760.465 613.95349
## 1846 12760.465 613.95349
## 1847 12760.465 613.95349
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## 1884 9743.895 0.00000
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## 1886 9743.895 0.00000
## 1887 9743.895 0.00000
## 1888 9743.895 0.00000
## 1889 9743.895 0.00000
## 1890 9743.895 0.00000
## 1891 9743.895 0.00000
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## 1893 9743.895 0.00000
## 1894 9743.895 0.00000
## 1895 9743.895 0.00000
## 1896 9743.895 0.00000
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## 1899 16006.395 0.00000
## 1900 16006.395 0.00000
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## 1903 16006.395 0.00000
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## 1911 16006.395 0.00000
## 1912 16006.395 0.00000
## 1913 16006.395 0.00000
## 1914 16006.395 0.00000
## 1915 16006.395 0.00000
## 1916 16006.395 0.00000
## 1917 16006.395 0.00000
## 1918 16006.395 0.00000
## 1919 16006.395 0.00000
## 1920 16006.395 0.00000
## 1921 1794.767 4812.20930
## 1922 1794.767 4812.20930
## 1923 1794.767 4812.20930
## 1924 1794.767 4812.20930
## 1925 1794.767 4812.20930
## 1926 1794.767 4812.20930
## 1927 1794.767 4812.20930
## 1928 1794.767 4812.20930
## 1929 1794.767 4812.20930
## 1930 1794.767 4812.20930
## 1931 1794.767 4812.20930
## 1932 1794.767 4812.20930
## 1933 1794.767 4812.20930
## 1934 1794.767 4812.20930
## 1935 1794.767 4812.20930
## 1936 1794.767 4812.20930
## 1937 1794.767 4812.20930
## 1938 1794.767 4812.20930
## 1939 1794.767 4812.20930
## 1940 1794.767 4812.20930
## 1941 1794.767 4812.20930
## 1942 1794.767 4812.20930
## 1943 1794.767 4812.20930
## 1944 1794.767 4812.20930
## 1945 7573.256 19557.55814
## 1946 7573.256 19557.55814
## 1947 7573.256 19557.55814
## 1948 7573.256 19557.55814
## 1949 7573.256 19557.55814
## 1950 7573.256 19557.55814
## 1951 7573.256 19557.55814
## 1952 7573.256 19557.55814
## 1953 7573.256 19557.55814
## 1954 7573.256 19557.55814
## 1955 7573.256 19557.55814
## 1956 7573.256 19557.55814
## 1957 7573.256 19557.55814
## 1958 7573.256 19557.55814
## 1959 7573.256 19557.55814
## 1960 7573.256 19557.55814
## 1961 7573.256 19557.55814
## 1962 7573.256 19557.55814
## 1963 7573.256 19557.55814
## 1964 7573.256 19557.55814
## 1965 7573.256 19557.55814
## 1966 7573.256 19557.55814
## 1967 7573.256 19557.55814
## 1968 7573.256 19557.55814
## 1969 11834.302 16130.23256
## 1970 11834.302 16130.23256
## 1971 11834.302 16130.23256
## 1972 11834.302 16130.23256
## 1973 11834.302 16130.23256
## 1974 11834.302 16130.23256
## 1975 11834.302 16130.23256
## 1976 11834.302 16130.23256
## 1977 11834.302 16130.23256
## 1978 11834.302 16130.23256
## 1979 11834.302 16130.23256
## 1980 11834.302 16130.23256
## 1981 11834.302 16130.23256
## 1982 11834.302 16130.23256
## 1983 11834.302 16130.23256
## 1984 11834.302 16130.23256
## 1985 11834.302 16130.23256
## 1986 11834.302 16130.23256
## 1987 11834.302 16130.23256
## 1988 11834.302 16130.23256
## 1989 11834.302 16130.23256
## 1990 11834.302 16130.23256
## 1991 11834.302 16130.23256
## 1992 11834.302 16130.23256
## 1993 8497.674 6549.41860
## 1994 8497.674 6549.41860
## 1995 8497.674 6549.41860
## 1996 8497.674 6549.41860
## 1997 8497.674 6549.41860
## 1998 8497.674 6549.41860
## 1999 8497.674 6549.41860
## 2000 8497.674 6549.41860
## 2001 8497.674 6549.41860
## 2002 8497.674 6549.41860
## 2003 8497.674 6549.41860
## 2004 8497.674 6549.41860
## 2005 8497.674 6549.41860
## 2006 8497.674 6549.41860
## 2007 8497.674 6549.41860
## 2008 8497.674 6549.41860
## 2009 8497.674 6549.41860
## 2010 8497.674 6549.41860
## 2011 8497.674 6549.41860
## 2012 8497.674 6549.41860
## 2013 8497.674 6549.41860
## 2014 8497.674 6549.41860
## 2015 8497.674 6549.41860
## 2016 8497.674 6549.41860
## 2017 9950.581 3514.53488
## 2018 9950.581 3514.53488
## 2019 9950.581 3514.53488
## 2020 9950.581 3514.53488
## 2021 9950.581 3514.53488
## 2022 9950.581 3514.53488
## 2023 9950.581 3514.53488
## 2024 9950.581 3514.53488
## 2025 9950.581 3514.53488
## 2026 9950.581 3514.53488
## 2027 9950.581 3514.53488
## 2028 9950.581 3514.53488
## 2029 9950.581 3514.53488
## 2030 9950.581 3514.53488
## 2031 9950.581 3514.53488
## 2032 9950.581 3514.53488
## 2033 9950.581 3514.53488
## 2034 9950.581 3514.53488
## 2035 9950.581 3514.53488
## 2036 9950.581 3514.53488
## 2037 9950.581 3514.53488
## 2038 9950.581 3514.53488
## 2039 9950.581 3514.53488
## 2040 9950.581 3514.53488
## 2041 9680.233 94.18605
## 2042 9680.233 94.18605
## 2043 9680.233 94.18605
## 2044 9680.233 94.18605
## 2045 9680.233 94.18605
## 2046 9680.233 94.18605
## 2047 9680.233 94.18605
## 2048 9680.233 94.18605
## 2049 9680.233 94.18605
## 2050 9680.233 94.18605
## 2051 9680.233 94.18605
## 2052 9680.233 94.18605
## 2053 9680.233 94.18605
## 2054 9680.233 94.18605
## 2055 9680.233 94.18605
## 2056 9680.233 94.18605
## 2057 9680.233 94.18605
## 2058 9680.233 94.18605
## 2059 9680.233 94.18605
## 2060 9680.233 94.18605
## 2061 9680.233 94.18605
## 2062 9680.233 94.18605
## 2063 9680.233 94.18605
## 2064 9680.233 94.18605
## 2065 15496.221 418.60465
## 2066 15496.221 418.60465
## 2067 15496.221 418.60465
## 2068 15496.221 418.60465
## 2069 15496.221 418.60465
## 2070 15496.221 418.60465
## 2071 15496.221 418.60465
## 2072 15496.221 418.60465
## 2073 15496.221 418.60465
## 2074 15496.221 418.60465
## 2075 15496.221 418.60465
## 2076 15496.221 418.60465
## 2077 15496.221 418.60465
## 2078 15496.221 418.60465
## 2079 15496.221 418.60465
## 2080 15496.221 418.60465
## 2081 15496.221 418.60465
## 2082 15496.221 418.60465
## 2083 15496.221 418.60465
## 2084 15496.221 418.60465
## 2085 15496.221 418.60465
## 2086 15496.221 418.60465
## 2087 15496.221 418.60465
## 2088 15496.221 418.60465
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## 2117 1794.767 4812.20930
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## 2119 1794.767 4812.20930
## 2120 1794.767 4812.20930
## 2121 1794.767 4812.20930
## 2122 1794.767 4812.20930
## 2123 1794.767 4812.20930
## 2124 1794.767 4812.20930
## 2125 1794.767 4812.20930
## 2126 1794.767 4812.20930
## 2127 1794.767 4812.20930
## 2128 1794.767 4812.20930
## 2129 1794.767 4812.20930
## 2130 1794.767 4812.20930
## 2131 1794.767 4812.20930
## 2132 1794.767 4812.20930
## 2133 1794.767 4812.20930
## 2134 1794.767 4812.20930
## 2135 1794.767 4812.20930
## 2136 1794.767 4812.20930
## 2137 9212.791 11656.39535
## 2138 9212.791 11656.39535
## 2139 9212.791 11656.39535
## 2140 9212.791 11656.39535
## 2141 9212.791 11656.39535
## 2142 9212.791 11656.39535
## 2143 9212.791 11656.39535
## 2144 9212.791 11656.39535
## 2145 9212.791 11656.39535
## 2146 9212.791 11656.39535
## 2147 9212.791 11656.39535
## 2148 9212.791 11656.39535
## 2149 9212.791 11656.39535
## 2150 9212.791 11656.39535
## 2151 9212.791 11656.39535
## 2152 9212.791 11656.39535
## 2153 9212.791 11656.39535
## 2154 9212.791 11656.39535
## 2155 9212.791 11656.39535
## 2156 9212.791 11656.39535
## 2157 9212.791 11656.39535
## 2158 9212.791 11656.39535
## 2159 9212.791 11656.39535
## 2160 9212.791 11656.39535
## 2161 12723.837 4932.55814
## 2162 12723.837 4932.55814
## 2163 12723.837 4932.55814
## 2164 12723.837 4932.55814
## 2165 12723.837 4932.55814
## 2166 12723.837 4932.55814
## 2167 12723.837 4932.55814
## 2168 12723.837 4932.55814
## 2169 12723.837 4932.55814
## 2170 12723.837 4932.55814
## 2171 12723.837 4932.55814
## 2172 12723.837 4932.55814
## 2173 12723.837 4932.55814
## 2174 12723.837 4932.55814
## 2175 12723.837 4932.55814
## 2176 12723.837 4932.55814
## 2177 12723.837 4932.55814
## 2178 12723.837 4932.55814
## 2179 12723.837 4932.55814
## 2180 12723.837 4932.55814
## 2181 12723.837 4932.55814
## 2182 12723.837 4932.55814
## 2183 12723.837 4932.55814
## 2184 12723.837 4932.55814
## 2185 16817.442 3261.62791
## 2186 16817.442 3261.62791
## 2187 16817.442 3261.62791
## 2188 16817.442 3261.62791
## 2189 16817.442 3261.62791
## 2190 16817.442 3261.62791
## 2191 16817.442 3261.62791
## 2192 16817.442 3261.62791
## 2193 16817.442 3261.62791
## 2194 16817.442 3261.62791
## 2195 16817.442 3261.62791
## 2196 16817.442 3261.62791
## 2197 16817.442 3261.62791
## 2198 16817.442 3261.62791
## 2199 16817.442 3261.62791
## 2200 16817.442 3261.62791
## 2201 16817.442 3261.62791
## 2202 16817.442 3261.62791
## 2203 16817.442 3261.62791
## 2204 16817.442 3261.62791
## 2205 16817.442 3261.62791
## 2206 16817.442 3261.62791
## 2207 16817.442 3261.62791
## 2208 16817.442 3261.62791
## 2209 13630.814 0.00000
## 2210 13630.814 0.00000
## 2211 13630.814 0.00000
## 2212 13630.814 0.00000
## 2213 13630.814 0.00000
## 2214 13630.814 0.00000
## 2215 13630.814 0.00000
## 2216 13630.814 0.00000
## 2217 13630.814 0.00000
## 2218 13630.814 0.00000
## 2219 13630.814 0.00000
## 2220 13630.814 0.00000
## 2221 13630.814 0.00000
## 2222 13630.814 0.00000
## 2223 13630.814 0.00000
## 2224 13630.814 0.00000
## 2225 13630.814 0.00000
## 2226 13630.814 0.00000
## 2227 13630.814 0.00000
## 2228 13630.814 0.00000
## 2229 13630.814 0.00000
## 2230 13630.814 0.00000
## 2231 13630.814 0.00000
## 2232 13630.814 0.00000
## 2233 8110.465 931.39535
## 2234 8110.465 931.39535
## 2235 8110.465 931.39535
## 2236 8110.465 931.39535
## 2237 8110.465 931.39535
## 2238 8110.465 931.39535
## 2239 8110.465 931.39535
## 2240 8110.465 931.39535
## 2241 8110.465 931.39535
## 2242 8110.465 931.39535
## 2243 8110.465 931.39535
## 2244 8110.465 931.39535
## 2245 8110.465 931.39535
## 2246 8110.465 931.39535
## 2247 8110.465 931.39535
## 2248 8110.465 931.39535
## 2249 8110.465 931.39535
## 2250 8110.465 931.39535
## 2251 8110.465 931.39535
## 2252 8110.465 931.39535
## 2253 8110.465 931.39535
## 2254 8110.465 931.39535
## 2255 8110.465 931.39535
## 2256 8110.465 931.39535
## 2257 12243.314 0.00000
## 2258 12243.314 0.00000
## 2259 12243.314 0.00000
## 2260 12243.314 0.00000
## 2261 12243.314 0.00000
## 2262 12243.314 0.00000
## 2263 12243.314 0.00000
## 2264 12243.314 0.00000
## 2265 12243.314 0.00000
## 2266 12243.314 0.00000
## 2267 12243.314 0.00000
## 2268 12243.314 0.00000
## 2269 12243.314 0.00000
## 2270 12243.314 0.00000
## 2271 12243.314 0.00000
## 2272 12243.314 0.00000
## 2273 12243.314 0.00000
## 2274 12243.314 0.00000
## 2275 12243.314 0.00000
## 2276 12243.314 0.00000
## 2277 12243.314 0.00000
## 2278 12243.314 0.00000
## 2279 12243.314 0.00000
## 2280 12243.314 0.00000
## 2281 10636.919 109.01163
## 2282 10636.919 109.01163
## 2283 10636.919 109.01163
## 2284 10636.919 109.01163
## 2285 10636.919 109.01163
## 2286 10636.919 109.01163
## 2287 10636.919 109.01163
## 2288 10636.919 109.01163
## 2289 10636.919 109.01163
## 2290 10636.919 109.01163
## 2291 10636.919 109.01163
## 2292 10636.919 109.01163
## 2293 10636.919 109.01163
## 2294 10636.919 109.01163
## 2295 10636.919 109.01163
## 2296 10636.919 109.01163
## 2297 10636.919 109.01163
## 2298 10636.919 109.01163
## 2299 10636.919 109.01163
## 2300 10636.919 109.01163
## 2301 10636.919 109.01163
## 2302 10636.919 109.01163
## 2303 10636.919 109.01163
## 2304 10636.919 109.01163
## 2305 1794.767 4812.20930
## 2306 1794.767 4812.20930
## 2307 1794.767 4812.20930
## 2308 1794.767 4812.20930
## 2309 1794.767 4812.20930
## 2310 1794.767 4812.20930
## 2311 1794.767 4812.20930
## 2312 1794.767 4812.20930
## 2313 1794.767 4812.20930
## 2314 1794.767 4812.20930
## 2315 1794.767 4812.20930
## 2316 1794.767 4812.20930
## 2317 1794.767 4812.20930
## 2318 1794.767 4812.20930
## 2319 1794.767 4812.20930
## 2320 1794.767 4812.20930
## 2321 1794.767 4812.20930
## 2322 1794.767 4812.20930
## 2323 1794.767 4812.20930
## 2324 1794.767 4812.20930
## 2325 1794.767 4812.20930
## 2326 1794.767 4812.20930
## 2327 1794.767 4812.20930
## 2328 1794.767 4812.20930
## 2329 7861.047 16487.79070
## 2330 7861.047 16487.79070
## 2331 7861.047 16487.79070
## 2332 7861.047 16487.79070
## 2333 7861.047 16487.79070
## 2334 7861.047 16487.79070
## 2335 7861.047 16487.79070
## 2336 7861.047 16487.79070
## 2337 7861.047 16487.79070
## 2338 7861.047 16487.79070
## 2339 7861.047 16487.79070
## 2340 7861.047 16487.79070
## 2341 7861.047 16487.79070
## 2342 7861.047 16487.79070
## 2343 7861.047 16487.79070
## 2344 7861.047 16487.79070
## 2345 7861.047 16487.79070
## 2346 7861.047 16487.79070
## 2347 7861.047 16487.79070
## 2348 7861.047 16487.79070
## 2349 7861.047 16487.79070
## 2350 7861.047 16487.79070
## 2351 7861.047 16487.79070
## 2352 7861.047 16487.79070
## 2353 12837.209 5795.93023
## 2354 12837.209 5795.93023
## 2355 12837.209 5795.93023
## 2356 12837.209 5795.93023
## 2357 12837.209 5795.93023
## 2358 12837.209 5795.93023
## 2359 12837.209 5795.93023
## 2360 12837.209 5795.93023
## 2361 12837.209 5795.93023
## 2362 12837.209 5795.93023
## 2363 12837.209 5795.93023
## 2364 12837.209 5795.93023
## 2365 12837.209 5795.93023
## 2366 12837.209 5795.93023
## 2367 12837.209 5795.93023
## 2368 12837.209 5795.93023
## 2369 12837.209 5795.93023
## 2370 12837.209 5795.93023
## 2371 12837.209 5795.93023
## 2372 12837.209 5795.93023
## 2373 12837.209 5795.93023
## 2374 12837.209 5795.93023
## 2375 12837.209 5795.93023
## 2376 12837.209 5795.93023
## 2377 8715.698 3636.62791
## 2378 8715.698 3636.62791
## 2379 8715.698 3636.62791
## 2380 8715.698 3636.62791
## 2381 8715.698 3636.62791
## 2382 8715.698 3636.62791
## 2383 8715.698 3636.62791
## 2384 8715.698 3636.62791
## 2385 8715.698 3636.62791
## 2386 8715.698 3636.62791
## 2387 8715.698 3636.62791
## 2388 8715.698 3636.62791
## 2389 8715.698 3636.62791
## 2390 8715.698 3636.62791
## 2391 8715.698 3636.62791
## 2392 8715.698 3636.62791
## 2393 8715.698 3636.62791
## 2394 8715.698 3636.62791
## 2395 8715.698 3636.62791
## 2396 8715.698 3636.62791
## 2397 8715.698 3636.62791
## 2398 8715.698 3636.62791
## 2399 8715.698 3636.62791
## 2400 8715.698 3636.62791
## 2401 11354.651 0.00000
## 2402 11354.651 0.00000
## 2403 11354.651 0.00000
## 2404 11354.651 0.00000
## 2405 11354.651 0.00000
## 2406 11354.651 0.00000
## 2407 11354.651 0.00000
## 2408 11354.651 0.00000
## 2409 11354.651 0.00000
## 2410 11354.651 0.00000
## 2411 11354.651 0.00000
## 2412 11354.651 0.00000
## 2413 11354.651 0.00000
## 2414 11354.651 0.00000
## 2415 11354.651 0.00000
## 2416 11354.651 0.00000
## 2417 11354.651 0.00000
## 2418 11354.651 0.00000
## 2419 11354.651 0.00000
## 2420 11354.651 0.00000
## 2421 11354.651 0.00000
## 2422 11354.651 0.00000
## 2423 11354.651 0.00000
## 2424 11354.651 0.00000
## 2425 3584.302 94.18605
## 2426 3584.302 94.18605
## 2427 3584.302 94.18605
## 2428 3584.302 94.18605
## 2429 3584.302 94.18605
## 2430 3584.302 94.18605
## 2431 3584.302 94.18605
## 2432 3584.302 94.18605
## 2433 3584.302 94.18605
## 2434 3584.302 94.18605
## 2435 3584.302 94.18605
## 2436 3584.302 94.18605
## 2437 3584.302 94.18605
## 2438 3584.302 94.18605
## 2439 3584.302 94.18605
## 2440 3584.302 94.18605
## 2441 3584.302 94.18605
## 2442 3584.302 94.18605
## 2443 3584.302 94.18605
## 2444 3584.302 94.18605
## 2445 3584.302 94.18605
## 2446 3584.302 94.18605
## 2447 3584.302 94.18605
## 2448 3584.302 94.18605
## 2449 13638.663 327.03488
## 2450 13638.663 327.03488
## 2451 13638.663 327.03488
## 2452 13638.663 327.03488
## 2453 13638.663 327.03488
## 2454 13638.663 327.03488
## 2455 13638.663 327.03488
## 2456 13638.663 327.03488
## 2457 13638.663 327.03488
## 2458 13638.663 327.03488
## 2459 13638.663 327.03488
## 2460 13638.663 327.03488
## 2461 13638.663 327.03488
## 2462 13638.663 327.03488
## 2463 13638.663 327.03488
## 2464 13638.663 327.03488
## 2465 13638.663 327.03488
## 2466 13638.663 327.03488
## 2467 13638.663 327.03488
## 2468 13638.663 327.03488
## 2469 13638.663 327.03488
## 2470 13638.663 327.03488
## 2471 13638.663 327.03488
## 2472 13638.663 327.03488
## 2473 20155.814 109.01163
## 2474 20155.814 109.01163
## 2475 20155.814 109.01163
## 2476 20155.814 109.01163
## 2477 20155.814 109.01163
## 2478 20155.814 109.01163
## 2479 20155.814 109.01163
## 2480 20155.814 109.01163
## 2481 20155.814 109.01163
## 2482 20155.814 109.01163
## 2483 20155.814 109.01163
## 2484 20155.814 109.01163
## 2485 20155.814 109.01163
## 2486 20155.814 109.01163
## 2487 20155.814 109.01163
## 2488 20155.814 109.01163
## 2489 20155.814 109.01163
## 2490 20155.814 109.01163
## 2491 20155.814 109.01163
## 2492 20155.814 109.01163
## 2493 20155.814 109.01163
## 2494 20155.814 109.01163
## 2495 20155.814 109.01163
## 2496 20155.814 109.01163
## 2497 1794.767 4812.20930
## 2498 1794.767 4812.20930
## 2499 1794.767 4812.20930
## 2500 1794.767 4812.20930
## 2501 1794.767 4812.20930
## 2502 1794.767 4812.20930
## 2503 1794.767 4812.20930
## 2504 1794.767 4812.20930
## 2505 1794.767 4812.20930
## 2506 1794.767 4812.20930
## 2507 1794.767 4812.20930
## 2508 1794.767 4812.20930
## 2509 1794.767 4812.20930
## 2510 1794.767 4812.20930
## 2511 1794.767 4812.20930
## 2512 1794.767 4812.20930
## 2513 1794.767 4812.20930
## 2514 1794.767 4812.20930
## 2515 1794.767 4812.20930
## 2516 1794.767 4812.20930
## 2517 1794.767 4812.20930
## 2518 1794.767 4812.20930
## 2519 1794.767 4812.20930
## 2520 1794.767 4812.20930
## 2521 9744.767 10819.18605
## 2522 9744.767 10819.18605
## 2523 9744.767 10819.18605
## 2524 9744.767 10819.18605
## 2525 9744.767 10819.18605
## 2526 9744.767 10819.18605
## 2527 9744.767 10819.18605
## 2528 9744.767 10819.18605
## 2529 9744.767 10819.18605
## 2530 9744.767 10819.18605
## 2531 9744.767 10819.18605
## 2532 9744.767 10819.18605
## 2533 9744.767 10819.18605
## 2534 9744.767 10819.18605
## 2535 9744.767 10819.18605
## 2536 9744.767 10819.18605
## 2537 9744.767 10819.18605
## 2538 9744.767 10819.18605
## 2539 9744.767 10819.18605
## 2540 9744.767 10819.18605
## 2541 9744.767 10819.18605
## 2542 9744.767 10819.18605
## 2543 9744.767 10819.18605
## 2544 9744.767 10819.18605
## 2545 17223.837 1845.34884
## 2546 17223.837 1845.34884
## 2547 17223.837 1845.34884
## 2548 17223.837 1845.34884
## 2549 17223.837 1845.34884
## 2550 17223.837 1845.34884
## 2551 17223.837 1845.34884
## 2552 17223.837 1845.34884
## 2553 17223.837 1845.34884
## 2554 17223.837 1845.34884
## 2555 17223.837 1845.34884
## 2556 17223.837 1845.34884
## 2557 17223.837 1845.34884
## 2558 17223.837 1845.34884
## 2559 17223.837 1845.34884
## 2560 17223.837 1845.34884
## 2561 17223.837 1845.34884
## 2562 17223.837 1845.34884
## 2563 17223.837 1845.34884
## 2564 17223.837 1845.34884
## 2565 17223.837 1845.34884
## 2566 17223.837 1845.34884
## 2567 17223.837 1845.34884
## 2568 17223.837 1845.34884
## 2569 12169.186 1090.11628
## 2570 12169.186 1090.11628
## 2571 12169.186 1090.11628
## 2572 12169.186 1090.11628
## 2573 12169.186 1090.11628
## 2574 12169.186 1090.11628
## 2575 12169.186 1090.11628
## 2576 12169.186 1090.11628
## 2577 12169.186 1090.11628
## 2578 12169.186 1090.11628
## 2579 12169.186 1090.11628
## 2580 12169.186 1090.11628
## 2581 12169.186 1090.11628
## 2582 12169.186 1090.11628
## 2583 12169.186 1090.11628
## 2584 12169.186 1090.11628
## 2585 12169.186 1090.11628
## 2586 12169.186 1090.11628
## 2587 12169.186 1090.11628
## 2588 12169.186 1090.11628
## 2589 12169.186 1090.11628
## 2590 12169.186 1090.11628
## 2591 12169.186 1090.11628
## 2592 12169.186 1090.11628
## 2593 11284.884 0.00000
## 2594 11284.884 0.00000
## 2595 11284.884 0.00000
## 2596 11284.884 0.00000
## 2597 11284.884 0.00000
## 2598 11284.884 0.00000
## 2599 11284.884 0.00000
## 2600 11284.884 0.00000
## 2601 11284.884 0.00000
## 2602 11284.884 0.00000
## 2603 11284.884 0.00000
## 2604 11284.884 0.00000
## 2605 11284.884 0.00000
## 2606 11284.884 0.00000
## 2607 11284.884 0.00000
## 2608 11284.884 0.00000
## 2609 11284.884 0.00000
## 2610 11284.884 0.00000
## 2611 11284.884 0.00000
## 2612 11284.884 0.00000
## 2613 11284.884 0.00000
## 2614 11284.884 0.00000
## 2615 11284.884 0.00000
## 2616 11284.884 0.00000
## 2617 5206.395 94.18605
## 2618 5206.395 94.18605
## 2619 5206.395 94.18605
## 2620 5206.395 94.18605
## 2621 5206.395 94.18605
## 2622 5206.395 94.18605
## 2623 5206.395 94.18605
## 2624 5206.395 94.18605
## 2625 5206.395 94.18605
## 2626 5206.395 94.18605
## 2627 5206.395 94.18605
## 2628 5206.395 94.18605
## 2629 5206.395 94.18605
## 2630 5206.395 94.18605
## 2631 5206.395 94.18605
## total_metaecosystem_Eug_indiv total_metaecosystem_Eup_indiv
## 1 7834.88372 3155.2326
## 2 7834.88372 3155.2326
## 3 7834.88372 3155.2326
## 4 7834.88372 3155.2326
## 5 7834.88372 3155.2326
## 6 7834.88372 3155.2326
## 7 7834.88372 3155.2326
## 8 7834.88372 3155.2326
## 9 7834.88372 3155.2326
## 10 7834.88372 3155.2326
## 11 7834.88372 3155.2326
## 12 7834.88372 3155.2326
## 13 7834.88372 3155.2326
## 14 7834.88372 3155.2326
## 15 7834.88372 3155.2326
## 16 7834.88372 3155.2326
## 17 7834.88372 3155.2326
## 18 7834.88372 3155.2326
## 19 7834.88372 3155.2326
## 20 7834.88372 3155.2326
## 21 7834.88372 3155.2326
## 22 7834.88372 3155.2326
## 23 7834.88372 3155.2326
## 24 7834.88372 3155.2326
## 25 3057.55814 4484.3023
## 26 3057.55814 4484.3023
## 27 3057.55814 4484.3023
## 28 3057.55814 4484.3023
## 29 3057.55814 4484.3023
## 30 3057.55814 4484.3023
## 31 3057.55814 4484.3023
## 32 3057.55814 4484.3023
## 33 3057.55814 4484.3023
## 34 3057.55814 4484.3023
## 35 3057.55814 4484.3023
## 36 3057.55814 4484.3023
## 37 3057.55814 4484.3023
## 38 3057.55814 4484.3023
## 39 3057.55814 4484.3023
## 40 3057.55814 4484.3023
## 41 3057.55814 4484.3023
## 42 3057.55814 4484.3023
## 43 3057.55814 4484.3023
## 44 3057.55814 4484.3023
## 45 3057.55814 4484.3023
## 46 3057.55814 4484.3023
## 47 3057.55814 4484.3023
## 48 3057.55814 4484.3023
## 49 218.02326 1318.6047
## 50 218.02326 1318.6047
## 51 218.02326 1318.6047
## 52 218.02326 1318.6047
## 53 218.02326 1318.6047
## 54 218.02326 1318.6047
## 55 218.02326 1318.6047
## 56 218.02326 1318.6047
## 57 218.02326 1318.6047
## 58 218.02326 1318.6047
## 59 218.02326 1318.6047
## 60 218.02326 1318.6047
## 61 218.02326 1318.6047
## 62 218.02326 1318.6047
## 63 218.02326 1318.6047
## 64 218.02326 1318.6047
## 65 218.02326 1318.6047
## 66 218.02326 1318.6047
## 67 218.02326 1318.6047
## 68 218.02326 1318.6047
## 69 218.02326 1318.6047
## 70 218.02326 1318.6047
## 71 218.02326 1318.6047
## 72 218.02326 1318.6047
## 73 0.00000 5084.3023
## 74 0.00000 5084.3023
## 75 0.00000 5084.3023
## 76 0.00000 5084.3023
## 77 0.00000 5084.3023
## 78 0.00000 5084.3023
## 79 0.00000 5084.3023
## 80 0.00000 5084.3023
## 81 0.00000 5084.3023
## 82 0.00000 5084.3023
## 83 0.00000 5084.3023
## 84 0.00000 5084.3023
## 85 0.00000 5084.3023
## 86 0.00000 5084.3023
## 87 0.00000 5084.3023
## 88 0.00000 5084.3023
## 89 0.00000 5084.3023
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## 2469 859.01163 0.0000
## 2470 859.01163 0.0000
## 2471 859.01163 0.0000
## 2472 859.01163 0.0000
## 2473 1090.11628 4469.4767
## 2474 1090.11628 4469.4767
## 2475 1090.11628 4469.4767
## 2476 1090.11628 4469.4767
## 2477 1090.11628 4469.4767
## 2478 1090.11628 4469.4767
## 2479 1090.11628 4469.4767
## 2480 1090.11628 4469.4767
## 2481 1090.11628 4469.4767
## 2482 1090.11628 4469.4767
## 2483 1090.11628 4469.4767
## 2484 1090.11628 4469.4767
## 2485 1090.11628 4469.4767
## 2486 1090.11628 4469.4767
## 2487 1090.11628 4469.4767
## 2488 1090.11628 4469.4767
## 2489 1090.11628 4469.4767
## 2490 1090.11628 4469.4767
## 2491 1090.11628 4469.4767
## 2492 1090.11628 4469.4767
## 2493 1090.11628 4469.4767
## 2494 1090.11628 4469.4767
## 2495 1090.11628 4469.4767
## 2496 1090.11628 4469.4767
## 2497 7834.88372 3155.2326
## 2498 7834.88372 3155.2326
## 2499 7834.88372 3155.2326
## 2500 7834.88372 3155.2326
## 2501 7834.88372 3155.2326
## 2502 7834.88372 3155.2326
## 2503 7834.88372 3155.2326
## 2504 7834.88372 3155.2326
## 2505 7834.88372 3155.2326
## 2506 7834.88372 3155.2326
## 2507 7834.88372 3155.2326
## 2508 7834.88372 3155.2326
## 2509 7834.88372 3155.2326
## 2510 7834.88372 3155.2326
## 2511 7834.88372 3155.2326
## 2512 7834.88372 3155.2326
## 2513 7834.88372 3155.2326
## 2514 7834.88372 3155.2326
## 2515 7834.88372 3155.2326
## 2516 7834.88372 3155.2326
## 2517 7834.88372 3155.2326
## 2518 7834.88372 3155.2326
## 2519 7834.88372 3155.2326
## 2520 7834.88372 3155.2326
## 2521 0.00000 1512.2093
## 2522 0.00000 1512.2093
## 2523 0.00000 1512.2093
## 2524 0.00000 1512.2093
## 2525 0.00000 1512.2093
## 2526 0.00000 1512.2093
## 2527 0.00000 1512.2093
## 2528 0.00000 1512.2093
## 2529 0.00000 1512.2093
## 2530 0.00000 1512.2093
## 2531 0.00000 1512.2093
## 2532 0.00000 1512.2093
## 2533 0.00000 1512.2093
## 2534 0.00000 1512.2093
## 2535 0.00000 1512.2093
## 2536 0.00000 1512.2093
## 2537 0.00000 1512.2093
## 2538 0.00000 1512.2093
## 2539 0.00000 1512.2093
## 2540 0.00000 1512.2093
## 2541 0.00000 1512.2093
## 2542 0.00000 1512.2093
## 2543 0.00000 1512.2093
## 2544 0.00000 1512.2093
## 2545 0.00000 8297.0930
## 2546 0.00000 8297.0930
## 2547 0.00000 8297.0930
## 2548 0.00000 8297.0930
## 2549 0.00000 8297.0930
## 2550 0.00000 8297.0930
## 2551 0.00000 8297.0930
## 2552 0.00000 8297.0930
## 2553 0.00000 8297.0930
## 2554 0.00000 8297.0930
## 2555 0.00000 8297.0930
## 2556 0.00000 8297.0930
## 2557 0.00000 8297.0930
## 2558 0.00000 8297.0930
## 2559 0.00000 8297.0930
## 2560 0.00000 8297.0930
## 2561 0.00000 8297.0930
## 2562 0.00000 8297.0930
## 2563 0.00000 8297.0930
## 2564 0.00000 8297.0930
## 2565 0.00000 8297.0930
## 2566 0.00000 8297.0930
## 2567 0.00000 8297.0930
## 2568 0.00000 8297.0930
## 2569 0.00000 1090.1163
## 2570 0.00000 1090.1163
## 2571 0.00000 1090.1163
## 2572 0.00000 1090.1163
## 2573 0.00000 1090.1163
## 2574 0.00000 1090.1163
## 2575 0.00000 1090.1163
## 2576 0.00000 1090.1163
## 2577 0.00000 1090.1163
## 2578 0.00000 1090.1163
## 2579 0.00000 1090.1163
## 2580 0.00000 1090.1163
## 2581 0.00000 1090.1163
## 2582 0.00000 1090.1163
## 2583 0.00000 1090.1163
## 2584 0.00000 1090.1163
## 2585 0.00000 1090.1163
## 2586 0.00000 1090.1163
## 2587 0.00000 1090.1163
## 2588 0.00000 1090.1163
## 2589 0.00000 1090.1163
## 2590 0.00000 1090.1163
## 2591 0.00000 1090.1163
## 2592 0.00000 1090.1163
## 2593 938.37209 5581.3953
## 2594 938.37209 5581.3953
## 2595 938.37209 5581.3953
## 2596 938.37209 5581.3953
## 2597 938.37209 5581.3953
## 2598 938.37209 5581.3953
## 2599 938.37209 5581.3953
## 2600 938.37209 5581.3953
## 2601 938.37209 5581.3953
## 2602 938.37209 5581.3953
## 2603 938.37209 5581.3953
## 2604 938.37209 5581.3953
## 2605 938.37209 5581.3953
## 2606 938.37209 5581.3953
## 2607 938.37209 5581.3953
## 2608 938.37209 5581.3953
## 2609 938.37209 5581.3953
## 2610 938.37209 5581.3953
## 2611 938.37209 5581.3953
## 2612 938.37209 5581.3953
## 2613 938.37209 5581.3953
## 2614 938.37209 5581.3953
## 2615 938.37209 5581.3953
## 2616 938.37209 5581.3953
## 2617 1090.11628 0.0000
## 2618 1090.11628 0.0000
## 2619 1090.11628 0.0000
## 2620 1090.11628 0.0000
## 2621 1090.11628 0.0000
## 2622 1090.11628 0.0000
## 2623 1090.11628 0.0000
## 2624 1090.11628 0.0000
## 2625 1090.11628 0.0000
## 2626 1090.11628 0.0000
## 2627 1090.11628 0.0000
## 2628 1090.11628 0.0000
## 2629 1090.11628 0.0000
## 2630 1090.11628 0.0000
## 2631 1090.11628 0.0000
## total_metaecosystem_Lox_indiv total_metaecosystem_Pau_indiv
## 1 2494.1860 5161.0465
## 2 2494.1860 5161.0465
## 3 2494.1860 5161.0465
## 4 2494.1860 5161.0465
## 5 2494.1860 5161.0465
## 6 2494.1860 5161.0465
## 7 2494.1860 5161.0465
## 8 2494.1860 5161.0465
## 9 2494.1860 5161.0465
## 10 2494.1860 5161.0465
## 11 2494.1860 5161.0465
## 12 2494.1860 5161.0465
## 13 2494.1860 5161.0465
## 14 2494.1860 5161.0465
## 15 2494.1860 5161.0465
## 16 2494.1860 5161.0465
## 17 2494.1860 5161.0465
## 18 2494.1860 5161.0465
## 19 2494.1860 5161.0465
## 20 2494.1860 5161.0465
## 21 2494.1860 5161.0465
## 22 2494.1860 5161.0465
## 23 2494.1860 5161.0465
## 24 2494.1860 5161.0465
## 25 218.0233 0.0000
## 26 218.0233 0.0000
## 27 218.0233 0.0000
## 28 218.0233 0.0000
## 29 218.0233 0.0000
## 30 218.0233 0.0000
## 31 218.0233 0.0000
## 32 218.0233 0.0000
## 33 218.0233 0.0000
## 34 218.0233 0.0000
## 35 218.0233 0.0000
## 36 218.0233 0.0000
## 37 218.0233 0.0000
## 38 218.0233 0.0000
## 39 218.0233 0.0000
## 40 218.0233 0.0000
## 41 218.0233 0.0000
## 42 218.0233 0.0000
## 43 218.0233 0.0000
## 44 218.0233 0.0000
## 45 218.0233 0.0000
## 46 218.0233 0.0000
## 47 218.0233 0.0000
## 48 218.0233 0.0000
## 49 0.0000 1970.9302
## 50 0.0000 1970.9302
## 51 0.0000 1970.9302
## 52 0.0000 1970.9302
## 53 0.0000 1970.9302
## 54 0.0000 1970.9302
## 55 0.0000 1970.9302
## 56 0.0000 1970.9302
## 57 0.0000 1970.9302
## 58 0.0000 1970.9302
## 59 0.0000 1970.9302
## 60 0.0000 1970.9302
## 61 0.0000 1970.9302
## 62 0.0000 1970.9302
## 63 0.0000 1970.9302
## 64 0.0000 1970.9302
## 65 0.0000 1970.9302
## 66 0.0000 1970.9302
## 67 0.0000 1970.9302
## 68 0.0000 1970.9302
## 69 0.0000 1970.9302
## 70 0.0000 1970.9302
## 71 0.0000 1970.9302
## 72 0.0000 1970.9302
## 73 0.0000 1369.1860
## 74 0.0000 1369.1860
## 75 0.0000 1369.1860
## 76 0.0000 1369.1860
## 77 0.0000 1369.1860
## 78 0.0000 1369.1860
## 79 0.0000 1369.1860
## 80 0.0000 1369.1860
## 81 0.0000 1369.1860
## 82 0.0000 1369.1860
## 83 0.0000 1369.1860
## 84 0.0000 1369.1860
## 85 0.0000 1369.1860
## 86 0.0000 1369.1860
## 87 0.0000 1369.1860
## 88 0.0000 1369.1860
## 89 0.0000 1369.1860
## 90 0.0000 1369.1860
## 91 0.0000 1369.1860
## 92 0.0000 1369.1860
## 93 0.0000 1369.1860
## 94 0.0000 1369.1860
## 95 0.0000 1369.1860
## 96 0.0000 1369.1860
## 97 436.0465 2776.7442
## 98 436.0465 2776.7442
## 99 436.0465 2776.7442
## 100 436.0465 2776.7442
## 101 436.0465 2776.7442
## 102 436.0465 2776.7442
## 103 436.0465 2776.7442
## 104 436.0465 2776.7442
## 105 436.0465 2776.7442
## 106 436.0465 2776.7442
## 107 436.0465 2776.7442
## 108 436.0465 2776.7442
## 109 436.0465 2776.7442
## 110 436.0465 2776.7442
## 111 436.0465 2776.7442
## 112 436.0465 2776.7442
## 113 436.0465 2776.7442
## 114 436.0465 2776.7442
## 115 436.0465 2776.7442
## 116 436.0465 2776.7442
## 117 436.0465 2776.7442
## 118 436.0465 2776.7442
## 119 436.0465 2776.7442
## 120 436.0465 2776.7442
## 121 0.0000 559.8837
## 122 0.0000 559.8837
## 123 0.0000 559.8837
## 124 0.0000 559.8837
## 125 0.0000 559.8837
## 126 0.0000 559.8837
## 127 0.0000 559.8837
## 128 0.0000 559.8837
## 129 0.0000 559.8837
## 130 0.0000 559.8837
## 131 0.0000 559.8837
## 132 0.0000 559.8837
## 133 0.0000 559.8837
## 134 0.0000 559.8837
## 135 0.0000 559.8837
## 136 0.0000 559.8837
## 137 0.0000 559.8837
## 138 0.0000 559.8837
## 139 0.0000 559.8837
## 140 0.0000 559.8837
## 141 0.0000 559.8837
## 142 0.0000 559.8837
## 143 0.0000 559.8837
## 144 0.0000 559.8837
## 145 545.0581 109.0116
## 146 545.0581 109.0116
## 147 545.0581 109.0116
## 148 545.0581 109.0116
## 149 545.0581 109.0116
## 150 545.0581 109.0116
## 151 545.0581 109.0116
## 152 545.0581 109.0116
## 153 545.0581 109.0116
## 154 545.0581 109.0116
## 155 545.0581 109.0116
## 156 545.0581 109.0116
## 157 545.0581 109.0116
## 158 545.0581 109.0116
## 159 545.0581 109.0116
## 160 545.0581 109.0116
## 161 545.0581 109.0116
## 162 545.0581 109.0116
## 163 545.0581 109.0116
## 164 545.0581 109.0116
## 165 545.0581 109.0116
## 166 545.0581 109.0116
## 167 545.0581 109.0116
## 168 545.0581 109.0116
## 169 1630.8140 531.9767
## 170 1630.8140 531.9767
## 171 1630.8140 531.9767
## 172 1630.8140 531.9767
## 173 1630.8140 531.9767
## 174 1630.8140 531.9767
## 175 1630.8140 531.9767
## 176 1630.8140 531.9767
## 177 1630.8140 531.9767
## 178 1630.8140 531.9767
## 179 1630.8140 531.9767
## 180 1630.8140 531.9767
## 181 1630.8140 531.9767
## 182 1630.8140 531.9767
## 183 1630.8140 531.9767
## 184 1630.8140 531.9767
## 185 1630.8140 531.9767
## 186 1630.8140 531.9767
## 187 1630.8140 531.9767
## 188 1630.8140 531.9767
## 189 1630.8140 531.9767
## 190 1630.8140 531.9767
## 191 1630.8140 531.9767
## 192 1630.8140 531.9767
## 193 2494.1860 5161.0465
## 194 2494.1860 5161.0465
## 195 2494.1860 5161.0465
## 196 2494.1860 5161.0465
## 197 2494.1860 5161.0465
## 198 2494.1860 5161.0465
## 199 2494.1860 5161.0465
## 200 2494.1860 5161.0465
## 201 2494.1860 5161.0465
## 202 2494.1860 5161.0465
## 203 2494.1860 5161.0465
## 204 2494.1860 5161.0465
## 205 2494.1860 5161.0465
## 206 2494.1860 5161.0465
## 207 2494.1860 5161.0465
## 208 2494.1860 5161.0465
## 209 2494.1860 5161.0465
## 210 2494.1860 5161.0465
## 211 2494.1860 5161.0465
## 212 2494.1860 5161.0465
## 213 2494.1860 5161.0465
## 214 2494.1860 5161.0465
## 215 2494.1860 5161.0465
## 216 2494.1860 5161.0465
## 217 1438.9535 5720.9302
## 218 1438.9535 5720.9302
## 219 1438.9535 5720.9302
## 220 1438.9535 5720.9302
## 221 1438.9535 5720.9302
## 222 1438.9535 5720.9302
## 223 1438.9535 5720.9302
## 224 1438.9535 5720.9302
## 225 1438.9535 5720.9302
## 226 1438.9535 5720.9302
## 227 1438.9535 5720.9302
## 228 1438.9535 5720.9302
## 229 1438.9535 5720.9302
## 230 1438.9535 5720.9302
## 231 1438.9535 5720.9302
## 232 1438.9535 5720.9302
## 233 1438.9535 5720.9302
## 234 1438.9535 5720.9302
## 235 1438.9535 5720.9302
## 236 1438.9535 5720.9302
## 237 1438.9535 5720.9302
## 238 1438.9535 5720.9302
## 239 1438.9535 5720.9302
## 240 1438.9535 5720.9302
## 241 0.0000 331.3953
## 242 0.0000 331.3953
## 243 0.0000 331.3953
## 244 0.0000 331.3953
## 245 0.0000 331.3953
## 246 0.0000 331.3953
## 247 0.0000 331.3953
## 248 0.0000 331.3953
## 249 0.0000 331.3953
## 250 0.0000 331.3953
## 251 0.0000 331.3953
## 252 0.0000 331.3953
## 253 0.0000 331.3953
## 254 0.0000 331.3953
## 255 0.0000 331.3953
## 256 0.0000 331.3953
## 257 0.0000 331.3953
## 258 0.0000 331.3953
## 259 0.0000 331.3953
## 260 0.0000 331.3953
## 261 0.0000 331.3953
## 262 0.0000 331.3953
## 263 0.0000 331.3953
## 264 0.0000 331.3953
## 265 0.0000 3052.3256
## 266 0.0000 3052.3256
## 267 0.0000 3052.3256
## 268 0.0000 3052.3256
## 269 0.0000 3052.3256
## 270 0.0000 3052.3256
## 271 0.0000 3052.3256
## 272 0.0000 3052.3256
## 273 0.0000 3052.3256
## 274 0.0000 3052.3256
## 275 0.0000 3052.3256
## 276 0.0000 3052.3256
## 277 0.0000 3052.3256
## 278 0.0000 3052.3256
## 279 0.0000 3052.3256
## 280 0.0000 3052.3256
## 281 0.0000 3052.3256
## 282 0.0000 3052.3256
## 283 0.0000 3052.3256
## 284 0.0000 3052.3256
## 285 0.0000 3052.3256
## 286 0.0000 3052.3256
## 287 0.0000 3052.3256
## 288 0.0000 3052.3256
## 289 436.0465 2192.4419
## 290 436.0465 2192.4419
## 291 436.0465 2192.4419
## 292 436.0465 2192.4419
## 293 436.0465 2192.4419
## 294 436.0465 2192.4419
## 295 436.0465 2192.4419
## 296 436.0465 2192.4419
## 297 436.0465 2192.4419
## 298 436.0465 2192.4419
## 299 436.0465 2192.4419
## 300 436.0465 2192.4419
## 301 436.0465 2192.4419
## 302 436.0465 2192.4419
## 303 436.0465 2192.4419
## 304 436.0465 2192.4419
## 305 436.0465 2192.4419
## 306 436.0465 2192.4419
## 307 436.0465 2192.4419
## 308 436.0465 2192.4419
## 309 436.0465 2192.4419
## 310 436.0465 2192.4419
## 311 436.0465 2192.4419
## 312 436.0465 2192.4419
## 313 0.0000 1833.1395
## 314 0.0000 1833.1395
## 315 0.0000 1833.1395
## 316 0.0000 1833.1395
## 317 0.0000 1833.1395
## 318 0.0000 1833.1395
## 319 0.0000 1833.1395
## 320 0.0000 1833.1395
## 321 0.0000 1833.1395
## 322 0.0000 1833.1395
## 323 0.0000 1833.1395
## 324 0.0000 1833.1395
## 325 0.0000 1833.1395
## 326 0.0000 1833.1395
## 327 0.0000 1833.1395
## 328 0.0000 1833.1395
## 329 0.0000 1833.1395
## 330 0.0000 1833.1395
## 331 0.0000 1833.1395
## 332 0.0000 1833.1395
## 333 0.0000 1833.1395
## 334 0.0000 1833.1395
## 335 0.0000 1833.1395
## 336 0.0000 1833.1395
## 337 0.0000 1020.3488
## 338 0.0000 1020.3488
## 339 0.0000 1020.3488
## 340 0.0000 1020.3488
## 341 0.0000 1020.3488
## 342 0.0000 1020.3488
## 343 0.0000 1020.3488
## 344 0.0000 1020.3488
## 345 0.0000 1020.3488
## 346 0.0000 1020.3488
## 347 0.0000 1020.3488
## 348 0.0000 1020.3488
## 349 0.0000 1020.3488
## 350 0.0000 1020.3488
## 351 0.0000 1020.3488
## 352 0.0000 1020.3488
## 353 0.0000 1020.3488
## 354 0.0000 1020.3488
## 355 0.0000 1020.3488
## 356 0.0000 1020.3488
## 357 0.0000 1020.3488
## 358 0.0000 1020.3488
## 359 0.0000 1020.3488
## 360 0.0000 1020.3488
## 361 545.0581 109.0116
## 362 545.0581 109.0116
## 363 545.0581 109.0116
## 364 545.0581 109.0116
## 365 545.0581 109.0116
## 366 545.0581 109.0116
## 367 545.0581 109.0116
## 368 545.0581 109.0116
## 369 545.0581 109.0116
## 370 545.0581 109.0116
## 371 545.0581 109.0116
## 372 545.0581 109.0116
## 373 545.0581 109.0116
## 374 545.0581 109.0116
## 375 545.0581 109.0116
## 376 545.0581 109.0116
## 377 545.0581 109.0116
## 378 545.0581 109.0116
## 379 545.0581 109.0116
## 380 545.0581 109.0116
## 381 545.0581 109.0116
## 382 545.0581 109.0116
## 383 545.0581 109.0116
## 384 545.0581 109.0116
## 385 2494.1860 5161.0465
## 386 2494.1860 5161.0465
## 387 2494.1860 5161.0465
## 388 2494.1860 5161.0465
## 389 2494.1860 5161.0465
## 390 2494.1860 5161.0465
## 391 2494.1860 5161.0465
## 392 2494.1860 5161.0465
## 393 2494.1860 5161.0465
## 394 2494.1860 5161.0465
## 395 2494.1860 5161.0465
## 396 2494.1860 5161.0465
## 397 2494.1860 5161.0465
## 398 2494.1860 5161.0465
## 399 2494.1860 5161.0465
## 400 2494.1860 5161.0465
## 401 2494.1860 5161.0465
## 402 2494.1860 5161.0465
## 403 2494.1860 5161.0465
## 404 2494.1860 5161.0465
## 405 2494.1860 5161.0465
## 406 2494.1860 5161.0465
## 407 2494.1860 5161.0465
## 408 2494.1860 5161.0465
## 409 2188.9535 915.6977
## 410 2188.9535 915.6977
## 411 2188.9535 915.6977
## 412 2188.9535 915.6977
## 413 2188.9535 915.6977
## 414 2188.9535 915.6977
## 415 2188.9535 915.6977
## 416 2188.9535 915.6977
## 417 2188.9535 915.6977
## 418 2188.9535 915.6977
## 419 2188.9535 915.6977
## 420 2188.9535 915.6977
## 421 2188.9535 915.6977
## 422 2188.9535 915.6977
## 423 2188.9535 915.6977
## 424 2188.9535 915.6977
## 425 2188.9535 915.6977
## 426 2188.9535 915.6977
## 427 2188.9535 915.6977
## 428 2188.9535 915.6977
## 429 2188.9535 915.6977
## 430 2188.9535 915.6977
## 431 2188.9535 915.6977
## 432 2188.9535 915.6977
## 433 244.1860 872.0930
## 434 244.1860 872.0930
## 435 244.1860 872.0930
## 436 244.1860 872.0930
## 437 244.1860 872.0930
## 438 244.1860 872.0930
## 439 244.1860 872.0930
## 440 244.1860 872.0930
## 441 244.1860 872.0930
## 442 244.1860 872.0930
## 443 244.1860 872.0930
## 444 244.1860 872.0930
## 445 244.1860 872.0930
## 446 244.1860 872.0930
## 447 244.1860 872.0930
## 448 244.1860 872.0930
## 449 244.1860 872.0930
## 450 244.1860 872.0930
## 451 244.1860 872.0930
## 452 244.1860 872.0930
## 453 244.1860 872.0930
## 454 244.1860 872.0930
## 455 244.1860 872.0930
## 456 244.1860 872.0930
## 457 837.2093 2093.0233
## 458 837.2093 2093.0233
## 459 837.2093 2093.0233
## 460 837.2093 2093.0233
## 461 837.2093 2093.0233
## 462 837.2093 2093.0233
## 463 837.2093 2093.0233
## 464 837.2093 2093.0233
## 465 837.2093 2093.0233
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## 2325 2494.1860 5161.0465
## 2326 2494.1860 5161.0465
## 2327 2494.1860 5161.0465
## 2328 2494.1860 5161.0465
## 2329 1970.9302 915.6977
## 2330 1970.9302 915.6977
## 2331 1970.9302 915.6977
## 2332 1970.9302 915.6977
## 2333 1970.9302 915.6977
## 2334 1970.9302 915.6977
## 2335 1970.9302 915.6977
## 2336 1970.9302 915.6977
## 2337 1970.9302 915.6977
## 2338 1970.9302 915.6977
## 2339 1970.9302 915.6977
## 2340 1970.9302 915.6977
## 2341 1970.9302 915.6977
## 2342 1970.9302 915.6977
## 2343 1970.9302 915.6977
## 2344 1970.9302 915.6977
## 2345 1970.9302 915.6977
## 2346 1970.9302 915.6977
## 2347 1970.9302 915.6977
## 2348 1970.9302 915.6977
## 2349 1970.9302 915.6977
## 2350 1970.9302 915.6977
## 2351 1970.9302 915.6977
## 2352 1970.9302 915.6977
## 2353 244.1860 755.2326
## 2354 244.1860 755.2326
## 2355 244.1860 755.2326
## 2356 244.1860 755.2326
## 2357 244.1860 755.2326
## 2358 244.1860 755.2326
## 2359 244.1860 755.2326
## 2360 244.1860 755.2326
## 2361 244.1860 755.2326
## 2362 244.1860 755.2326
## 2363 244.1860 755.2326
## 2364 244.1860 755.2326
## 2365 244.1860 755.2326
## 2366 244.1860 755.2326
## 2367 244.1860 755.2326
## 2368 244.1860 755.2326
## 2369 244.1860 755.2326
## 2370 244.1860 755.2326
## 2371 244.1860 755.2326
## 2372 244.1860 755.2326
## 2373 244.1860 755.2326
## 2374 244.1860 755.2326
## 2375 244.1860 755.2326
## 2376 244.1860 755.2326
## 2377 837.2093 2576.1628
## 2378 837.2093 2576.1628
## 2379 837.2093 2576.1628
## 2380 837.2093 2576.1628
## 2381 837.2093 2576.1628
## 2382 837.2093 2576.1628
## 2383 837.2093 2576.1628
## 2384 837.2093 2576.1628
## 2385 837.2093 2576.1628
## 2386 837.2093 2576.1628
## 2387 837.2093 2576.1628
## 2388 837.2093 2576.1628
## 2389 837.2093 2576.1628
## 2390 837.2093 2576.1628
## 2391 837.2093 2576.1628
## 2392 837.2093 2576.1628
## 2393 837.2093 2576.1628
## 2394 837.2093 2576.1628
## 2395 837.2093 2576.1628
## 2396 837.2093 2576.1628
## 2397 837.2093 2576.1628
## 2398 837.2093 2576.1628
## 2399 837.2093 2576.1628
## 2400 837.2093 2576.1628
## 2401 0.0000 1273.2558
## 2402 0.0000 1273.2558
## 2403 0.0000 1273.2558
## 2404 0.0000 1273.2558
## 2405 0.0000 1273.2558
## 2406 0.0000 1273.2558
## 2407 0.0000 1273.2558
## 2408 0.0000 1273.2558
## 2409 0.0000 1273.2558
## 2410 0.0000 1273.2558
## 2411 0.0000 1273.2558
## 2412 0.0000 1273.2558
## 2413 0.0000 1273.2558
## 2414 0.0000 1273.2558
## 2415 0.0000 1273.2558
## 2416 0.0000 1273.2558
## 2417 0.0000 1273.2558
## 2418 0.0000 1273.2558
## 2419 0.0000 1273.2558
## 2420 0.0000 1273.2558
## 2421 0.0000 1273.2558
## 2422 0.0000 1273.2558
## 2423 0.0000 1273.2558
## 2424 0.0000 1273.2558
## 2425 0.0000 3479.6512
## 2426 0.0000 3479.6512
## 2427 0.0000 3479.6512
## 2428 0.0000 3479.6512
## 2429 0.0000 3479.6512
## 2430 0.0000 3479.6512
## 2431 0.0000 3479.6512
## 2432 0.0000 3479.6512
## 2433 0.0000 3479.6512
## 2434 0.0000 3479.6512
## 2435 0.0000 3479.6512
## 2436 0.0000 3479.6512
## 2437 0.0000 3479.6512
## 2438 0.0000 3479.6512
## 2439 0.0000 3479.6512
## 2440 0.0000 3479.6512
## 2441 0.0000 3479.6512
## 2442 0.0000 3479.6512
## 2443 0.0000 3479.6512
## 2444 0.0000 3479.6512
## 2445 0.0000 3479.6512
## 2446 0.0000 3479.6512
## 2447 0.0000 3479.6512
## 2448 0.0000 3479.6512
## 2449 545.0581 244.1860
## 2450 545.0581 244.1860
## 2451 545.0581 244.1860
## 2452 545.0581 244.1860
## 2453 545.0581 244.1860
## 2454 545.0581 244.1860
## 2455 545.0581 244.1860
## 2456 545.0581 244.1860
## 2457 545.0581 244.1860
## 2458 545.0581 244.1860
## 2459 545.0581 244.1860
## 2460 545.0581 244.1860
## 2461 545.0581 244.1860
## 2462 545.0581 244.1860
## 2463 545.0581 244.1860
## 2464 545.0581 244.1860
## 2465 545.0581 244.1860
## 2466 545.0581 244.1860
## 2467 545.0581 244.1860
## 2468 545.0581 244.1860
## 2469 545.0581 244.1860
## 2470 545.0581 244.1860
## 2471 545.0581 244.1860
## 2472 545.0581 244.1860
## 2473 1212.2093 414.2442
## 2474 1212.2093 414.2442
## 2475 1212.2093 414.2442
## 2476 1212.2093 414.2442
## 2477 1212.2093 414.2442
## 2478 1212.2093 414.2442
## 2479 1212.2093 414.2442
## 2480 1212.2093 414.2442
## 2481 1212.2093 414.2442
## 2482 1212.2093 414.2442
## 2483 1212.2093 414.2442
## 2484 1212.2093 414.2442
## 2485 1212.2093 414.2442
## 2486 1212.2093 414.2442
## 2487 1212.2093 414.2442
## 2488 1212.2093 414.2442
## 2489 1212.2093 414.2442
## 2490 1212.2093 414.2442
## 2491 1212.2093 414.2442
## 2492 1212.2093 414.2442
## 2493 1212.2093 414.2442
## 2494 1212.2093 414.2442
## 2495 1212.2093 414.2442
## 2496 1212.2093 414.2442
## 2497 2494.1860 5161.0465
## 2498 2494.1860 5161.0465
## 2499 2494.1860 5161.0465
## 2500 2494.1860 5161.0465
## 2501 2494.1860 5161.0465
## 2502 2494.1860 5161.0465
## 2503 2494.1860 5161.0465
## 2504 2494.1860 5161.0465
## 2505 2494.1860 5161.0465
## 2506 2494.1860 5161.0465
## 2507 2494.1860 5161.0465
## 2508 2494.1860 5161.0465
## 2509 2494.1860 5161.0465
## 2510 2494.1860 5161.0465
## 2511 2494.1860 5161.0465
## 2512 2494.1860 5161.0465
## 2513 2494.1860 5161.0465
## 2514 2494.1860 5161.0465
## 2515 2494.1860 5161.0465
## 2516 2494.1860 5161.0465
## 2517 2494.1860 5161.0465
## 2518 2494.1860 5161.0465
## 2519 2494.1860 5161.0465
## 2520 2494.1860 5161.0465
## 2521 0.0000 2494.1860
## 2522 0.0000 2494.1860
## 2523 0.0000 2494.1860
## 2524 0.0000 2494.1860
## 2525 0.0000 2494.1860
## 2526 0.0000 2494.1860
## 2527 0.0000 2494.1860
## 2528 0.0000 2494.1860
## 2529 0.0000 2494.1860
## 2530 0.0000 2494.1860
## 2531 0.0000 2494.1860
## 2532 0.0000 2494.1860
## 2533 0.0000 2494.1860
## 2534 0.0000 2494.1860
## 2535 0.0000 2494.1860
## 2536 0.0000 2494.1860
## 2537 0.0000 2494.1860
## 2538 0.0000 2494.1860
## 2539 0.0000 2494.1860
## 2540 0.0000 2494.1860
## 2541 0.0000 2494.1860
## 2542 0.0000 2494.1860
## 2543 0.0000 2494.1860
## 2544 0.0000 2494.1860
## 2545 0.0000 3048.8372
## 2546 0.0000 3048.8372
## 2547 0.0000 3048.8372
## 2548 0.0000 3048.8372
## 2549 0.0000 3048.8372
## 2550 0.0000 3048.8372
## 2551 0.0000 3048.8372
## 2552 0.0000 3048.8372
## 2553 0.0000 3048.8372
## 2554 0.0000 3048.8372
## 2555 0.0000 3048.8372
## 2556 0.0000 3048.8372
## 2557 0.0000 3048.8372
## 2558 0.0000 3048.8372
## 2559 0.0000 3048.8372
## 2560 0.0000 3048.8372
## 2561 0.0000 3048.8372
## 2562 0.0000 3048.8372
## 2563 0.0000 3048.8372
## 2564 0.0000 3048.8372
## 2565 0.0000 3048.8372
## 2566 0.0000 3048.8372
## 2567 0.0000 3048.8372
## 2568 0.0000 3048.8372
## 2569 0.0000 483.1395
## 2570 0.0000 483.1395
## 2571 0.0000 483.1395
## 2572 0.0000 483.1395
## 2573 0.0000 483.1395
## 2574 0.0000 483.1395
## 2575 0.0000 483.1395
## 2576 0.0000 483.1395
## 2577 0.0000 483.1395
## 2578 0.0000 483.1395
## 2579 0.0000 483.1395
## 2580 0.0000 483.1395
## 2581 0.0000 483.1395
## 2582 0.0000 483.1395
## 2583 0.0000 483.1395
## 2584 0.0000 483.1395
## 2585 0.0000 483.1395
## 2586 0.0000 483.1395
## 2587 0.0000 483.1395
## 2588 0.0000 483.1395
## 2589 0.0000 483.1395
## 2590 0.0000 483.1395
## 2591 0.0000 483.1395
## 2592 0.0000 483.1395
## 2593 0.0000 218.0233
## 2594 0.0000 218.0233
## 2595 0.0000 218.0233
## 2596 0.0000 218.0233
## 2597 0.0000 218.0233
## 2598 0.0000 218.0233
## 2599 0.0000 218.0233
## 2600 0.0000 218.0233
## 2601 0.0000 218.0233
## 2602 0.0000 218.0233
## 2603 0.0000 218.0233
## 2604 0.0000 218.0233
## 2605 0.0000 218.0233
## 2606 0.0000 218.0233
## 2607 0.0000 218.0233
## 2608 0.0000 218.0233
## 2609 0.0000 218.0233
## 2610 0.0000 218.0233
## 2611 0.0000 218.0233
## 2612 0.0000 218.0233
## 2613 0.0000 218.0233
## 2614 0.0000 218.0233
## 2615 0.0000 218.0233
## 2616 0.0000 218.0233
## 2617 1090.1163 0.0000
## 2618 1090.1163 0.0000
## 2619 1090.1163 0.0000
## 2620 1090.1163 0.0000
## 2621 1090.1163 0.0000
## 2622 1090.1163 0.0000
## 2623 1090.1163 0.0000
## 2624 1090.1163 0.0000
## 2625 1090.1163 0.0000
## 2626 1090.1163 0.0000
## 2627 1090.1163 0.0000
## 2628 1090.1163 0.0000
## 2629 1090.1163 0.0000
## 2630 1090.1163 0.0000
## 2631 1090.1163 0.0000
## total_metaecosystem_Pca_indiv total_metaecosystem_Spi_indiv
## 1 883.43023 635.75581
## 2 883.43023 635.75581
## 3 883.43023 635.75581
## 4 883.43023 635.75581
## 5 883.43023 635.75581
## 6 883.43023 635.75581
## 7 883.43023 635.75581
## 8 883.43023 635.75581
## 9 883.43023 635.75581
## 10 883.43023 635.75581
## 11 883.43023 635.75581
## 12 883.43023 635.75581
## 13 883.43023 635.75581
## 14 883.43023 635.75581
## 15 883.43023 635.75581
## 16 883.43023 635.75581
## 17 883.43023 635.75581
## 18 883.43023 635.75581
## 19 883.43023 635.75581
## 20 883.43023 635.75581
## 21 883.43023 635.75581
## 22 883.43023 635.75581
## 23 883.43023 635.75581
## 24 883.43023 635.75581
## 25 1854.06977 1055.23256
## 26 1854.06977 1055.23256
## 27 1854.06977 1055.23256
## 28 1854.06977 1055.23256
## 29 1854.06977 1055.23256
## 30 1854.06977 1055.23256
## 31 1854.06977 1055.23256
## 32 1854.06977 1055.23256
## 33 1854.06977 1055.23256
## 34 1854.06977 1055.23256
## 35 1854.06977 1055.23256
## 36 1854.06977 1055.23256
## 37 1854.06977 1055.23256
## 38 1854.06977 1055.23256
## 39 1854.06977 1055.23256
## 40 1854.06977 1055.23256
## 41 1854.06977 1055.23256
## 42 1854.06977 1055.23256
## 43 1854.06977 1055.23256
## 44 1854.06977 1055.23256
## 45 1854.06977 1055.23256
## 46 1854.06977 1055.23256
## 47 1854.06977 1055.23256
## 48 1854.06977 1055.23256
## 49 1189.53488 1090.11628
## 50 1189.53488 1090.11628
## 51 1189.53488 1090.11628
## 52 1189.53488 1090.11628
## 53 1189.53488 1090.11628
## 54 1189.53488 1090.11628
## 55 1189.53488 1090.11628
## 56 1189.53488 1090.11628
## 57 1189.53488 1090.11628
## 58 1189.53488 1090.11628
## 59 1189.53488 1090.11628
## 60 1189.53488 1090.11628
## 61 1189.53488 1090.11628
## 62 1189.53488 1090.11628
## 63 1189.53488 1090.11628
## 64 1189.53488 1090.11628
## 65 1189.53488 1090.11628
## 66 1189.53488 1090.11628
## 67 1189.53488 1090.11628
## 68 1189.53488 1090.11628
## 69 1189.53488 1090.11628
## 70 1189.53488 1090.11628
## 71 1189.53488 1090.11628
## 72 1189.53488 1090.11628
## 73 3783.13953 2180.23256
## 74 3783.13953 2180.23256
## 75 3783.13953 2180.23256
## 76 3783.13953 2180.23256
## 77 3783.13953 2180.23256
## 78 3783.13953 2180.23256
## 79 3783.13953 2180.23256
## 80 3783.13953 2180.23256
## 81 3783.13953 2180.23256
## 82 3783.13953 2180.23256
## 83 3783.13953 2180.23256
## 84 3783.13953 2180.23256
## 85 3783.13953 2180.23256
## 86 3783.13953 2180.23256
## 87 3783.13953 2180.23256
## 88 3783.13953 2180.23256
## 89 3783.13953 2180.23256
## 90 3783.13953 2180.23256
## 91 3783.13953 2180.23256
## 92 3783.13953 2180.23256
## 93 3783.13953 2180.23256
## 94 3783.13953 2180.23256
## 95 3783.13953 2180.23256
## 96 3783.13953 2180.23256
## 97 1709.30233 549.41860
## 98 1709.30233 549.41860
## 99 1709.30233 549.41860
## 100 1709.30233 549.41860
## 101 1709.30233 549.41860
## 102 1709.30233 549.41860
## 103 1709.30233 549.41860
## 104 1709.30233 549.41860
## 105 1709.30233 549.41860
## 106 1709.30233 549.41860
## 107 1709.30233 549.41860
## 108 1709.30233 549.41860
## 109 1709.30233 549.41860
## 110 1709.30233 549.41860
## 111 1709.30233 549.41860
## 112 1709.30233 549.41860
## 113 1709.30233 549.41860
## 114 1709.30233 549.41860
## 115 1709.30233 549.41860
## 116 1709.30233 549.41860
## 117 1709.30233 549.41860
## 118 1709.30233 549.41860
## 119 1709.30233 549.41860
## 120 1709.30233 549.41860
## 121 540.69767 0.00000
## 122 540.69767 0.00000
## 123 540.69767 0.00000
## 124 540.69767 0.00000
## 125 540.69767 0.00000
## 126 540.69767 0.00000
## 127 540.69767 0.00000
## 128 540.69767 0.00000
## 129 540.69767 0.00000
## 130 540.69767 0.00000
## 131 540.69767 0.00000
## 132 540.69767 0.00000
## 133 540.69767 0.00000
## 134 540.69767 0.00000
## 135 540.69767 0.00000
## 136 540.69767 0.00000
## 137 540.69767 0.00000
## 138 540.69767 0.00000
## 139 540.69767 0.00000
## 140 540.69767 0.00000
## 141 540.69767 0.00000
## 142 540.69767 0.00000
## 143 540.69767 0.00000
## 144 540.69767 0.00000
## 145 1181.68605 31.39535
## 146 1181.68605 31.39535
## 147 1181.68605 31.39535
## 148 1181.68605 31.39535
## 149 1181.68605 31.39535
## 150 1181.68605 31.39535
## 151 1181.68605 31.39535
## 152 1181.68605 31.39535
## 153 1181.68605 31.39535
## 154 1181.68605 31.39535
## 155 1181.68605 31.39535
## 156 1181.68605 31.39535
## 157 1181.68605 31.39535
## 158 1181.68605 31.39535
## 159 1181.68605 31.39535
## 160 1181.68605 31.39535
## 161 1181.68605 31.39535
## 162 1181.68605 31.39535
## 163 1181.68605 31.39535
## 164 1181.68605 31.39535
## 165 1181.68605 31.39535
## 166 1181.68605 31.39535
## 167 1181.68605 31.39535
## 168 1181.68605 31.39535
## 169 1063.95349 126.45349
## 170 1063.95349 126.45349
## 171 1063.95349 126.45349
## 172 1063.95349 126.45349
## 173 1063.95349 126.45349
## 174 1063.95349 126.45349
## 175 1063.95349 126.45349
## 176 1063.95349 126.45349
## 177 1063.95349 126.45349
## 178 1063.95349 126.45349
## 179 1063.95349 126.45349
## 180 1063.95349 126.45349
## 181 1063.95349 126.45349
## 182 1063.95349 126.45349
## 183 1063.95349 126.45349
## 184 1063.95349 126.45349
## 185 1063.95349 126.45349
## 186 1063.95349 126.45349
## 187 1063.95349 126.45349
## 188 1063.95349 126.45349
## 189 1063.95349 126.45349
## 190 1063.95349 126.45349
## 191 1063.95349 126.45349
## 192 1063.95349 126.45349
## 193 883.43023 635.75581
## 194 883.43023 635.75581
## 195 883.43023 635.75581
## 196 883.43023 635.75581
## 197 883.43023 635.75581
## 198 883.43023 635.75581
## 199 883.43023 635.75581
## 200 883.43023 635.75581
## 201 883.43023 635.75581
## 202 883.43023 635.75581
## 203 883.43023 635.75581
## 204 883.43023 635.75581
## 205 883.43023 635.75581
## 206 883.43023 635.75581
## 207 883.43023 635.75581
## 208 883.43023 635.75581
## 209 883.43023 635.75581
## 210 883.43023 635.75581
## 211 883.43023 635.75581
## 212 883.43023 635.75581
## 213 883.43023 635.75581
## 214 883.43023 635.75581
## 215 883.43023 635.75581
## 216 883.43023 635.75581
## 217 5708.72093 1029.06977
## 218 5708.72093 1029.06977
## 219 5708.72093 1029.06977
## 220 5708.72093 1029.06977
## 221 5708.72093 1029.06977
## 222 5708.72093 1029.06977
## 223 5708.72093 1029.06977
## 224 5708.72093 1029.06977
## 225 5708.72093 1029.06977
## 226 5708.72093 1029.06977
## 227 5708.72093 1029.06977
## 228 5708.72093 1029.06977
## 229 5708.72093 1029.06977
## 230 5708.72093 1029.06977
## 231 5708.72093 1029.06977
## 232 5708.72093 1029.06977
## 233 5708.72093 1029.06977
## 234 5708.72093 1029.06977
## 235 5708.72093 1029.06977
## 236 5708.72093 1029.06977
## 237 5708.72093 1029.06977
## 238 5708.72093 1029.06977
## 239 5708.72093 1029.06977
## 240 5708.72093 1029.06977
## 241 99.41860 0.00000
## 242 99.41860 0.00000
## 243 99.41860 0.00000
## 244 99.41860 0.00000
## 245 99.41860 0.00000
## 246 99.41860 0.00000
## 247 99.41860 0.00000
## 248 99.41860 0.00000
## 249 99.41860 0.00000
## 250 99.41860 0.00000
## 251 99.41860 0.00000
## 252 99.41860 0.00000
## 253 99.41860 0.00000
## 254 99.41860 0.00000
## 255 99.41860 0.00000
## 256 99.41860 0.00000
## 257 99.41860 0.00000
## 258 99.41860 0.00000
## 259 99.41860 0.00000
## 260 99.41860 0.00000
## 261 99.41860 0.00000
## 262 99.41860 0.00000
## 263 99.41860 0.00000
## 264 99.41860 0.00000
## 265 146.51163 2188.95349
## 266 146.51163 2188.95349
## 267 146.51163 2188.95349
## 268 146.51163 2188.95349
## 269 146.51163 2188.95349
## 270 146.51163 2188.95349
## 271 146.51163 2188.95349
## 272 146.51163 2188.95349
## 273 146.51163 2188.95349
## 274 146.51163 2188.95349
## 275 146.51163 2188.95349
## 276 146.51163 2188.95349
## 277 146.51163 2188.95349
## 278 146.51163 2188.95349
## 279 146.51163 2188.95349
## 280 146.51163 2188.95349
## 281 146.51163 2188.95349
## 282 146.51163 2188.95349
## 283 146.51163 2188.95349
## 284 146.51163 2188.95349
## 285 146.51163 2188.95349
## 286 146.51163 2188.95349
## 287 146.51163 2188.95349
## 288 146.51163 2188.95349
## 289 0.00000 3654.06977
## 290 0.00000 3654.06977
## 291 0.00000 3654.06977
## 292 0.00000 3654.06977
## 293 0.00000 3654.06977
## 294 0.00000 3654.06977
## 295 0.00000 3654.06977
## 296 0.00000 3654.06977
## 297 0.00000 3654.06977
## 298 0.00000 3654.06977
## 299 0.00000 3654.06977
## 300 0.00000 3654.06977
## 301 0.00000 3654.06977
## 302 0.00000 3654.06977
## 303 0.00000 3654.06977
## 304 0.00000 3654.06977
## 305 0.00000 3654.06977
## 306 0.00000 3654.06977
## 307 0.00000 3654.06977
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## 1976 1090.11628 1090.11628
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## 1978 1090.11628 1090.11628
## 1979 1090.11628 1090.11628
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## 1981 1090.11628 1090.11628
## 1982 1090.11628 1090.11628
## 1983 1090.11628 1090.11628
## 1984 1090.11628 1090.11628
## 1985 1090.11628 1090.11628
## 1986 1090.11628 1090.11628
## 1987 1090.11628 1090.11628
## 1988 1090.11628 1090.11628
## 1989 1090.11628 1090.11628
## 1990 1090.11628 1090.11628
## 1991 1090.11628 1090.11628
## 1992 1090.11628 1090.11628
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## 1994 3636.62791 2180.23256
## 1995 3636.62791 2180.23256
## 1996 3636.62791 2180.23256
## 1997 3636.62791 2180.23256
## 1998 3636.62791 2180.23256
## 1999 3636.62791 2180.23256
## 2000 3636.62791 2180.23256
## 2001 3636.62791 2180.23256
## 2002 3636.62791 2180.23256
## 2003 3636.62791 2180.23256
## 2004 3636.62791 2180.23256
## 2005 3636.62791 2180.23256
## 2006 3636.62791 2180.23256
## 2007 3636.62791 2180.23256
## 2008 3636.62791 2180.23256
## 2009 3636.62791 2180.23256
## 2010 3636.62791 2180.23256
## 2011 3636.62791 2180.23256
## 2012 3636.62791 2180.23256
## 2013 3636.62791 2180.23256
## 2014 3636.62791 2180.23256
## 2015 3636.62791 2180.23256
## 2016 3636.62791 2180.23256
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## 2018 1709.30233 549.41860
## 2019 1709.30233 549.41860
## 2020 1709.30233 549.41860
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## 2496 0.00000 0.00000
## 2497 883.43023 635.75581
## 2498 883.43023 635.75581
## 2499 883.43023 635.75581
## 2500 883.43023 635.75581
## 2501 883.43023 635.75581
## 2502 883.43023 635.75581
## 2503 883.43023 635.75581
## 2504 883.43023 635.75581
## 2505 883.43023 635.75581
## 2506 883.43023 635.75581
## 2507 883.43023 635.75581
## 2508 883.43023 635.75581
## 2509 883.43023 635.75581
## 2510 883.43023 635.75581
## 2511 883.43023 635.75581
## 2512 883.43023 635.75581
## 2513 883.43023 635.75581
## 2514 883.43023 635.75581
## 2515 883.43023 635.75581
## 2516 883.43023 635.75581
## 2517 883.43023 635.75581
## 2518 883.43023 635.75581
## 2519 883.43023 635.75581
## 2520 883.43023 635.75581
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## 2524 863.37209 0.00000
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## 2529 863.37209 0.00000
## 2530 863.37209 0.00000
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## 2533 863.37209 0.00000
## 2534 863.37209 0.00000
## 2535 863.37209 0.00000
## 2536 863.37209 0.00000
## 2537 863.37209 0.00000
## 2538 863.37209 0.00000
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## 2540 863.37209 0.00000
## 2541 863.37209 0.00000
## 2542 863.37209 0.00000
## 2543 863.37209 0.00000
## 2544 863.37209 0.00000
## 2545 1107.55814 235.46512
## 2546 1107.55814 235.46512
## 2547 1107.55814 235.46512
## 2548 1107.55814 235.46512
## 2549 1107.55814 235.46512
## 2550 1107.55814 235.46512
## 2551 1107.55814 235.46512
## 2552 1107.55814 235.46512
## 2553 1107.55814 235.46512
## 2554 1107.55814 235.46512
## 2555 1107.55814 235.46512
## 2556 1107.55814 235.46512
## 2557 1107.55814 235.46512
## 2558 1107.55814 235.46512
## 2559 1107.55814 235.46512
## 2560 1107.55814 235.46512
## 2561 1107.55814 235.46512
## 2562 1107.55814 235.46512
## 2563 1107.55814 235.46512
## 2564 1107.55814 235.46512
## 2565 1107.55814 235.46512
## 2566 1107.55814 235.46512
## 2567 1107.55814 235.46512
## 2568 1107.55814 235.46512
## 2569 1229.65116 0.00000
## 2570 1229.65116 0.00000
## 2571 1229.65116 0.00000
## 2572 1229.65116 0.00000
## 2573 1229.65116 0.00000
## 2574 1229.65116 0.00000
## 2575 1229.65116 0.00000
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## 2577 1229.65116 0.00000
## 2578 1229.65116 0.00000
## 2579 1229.65116 0.00000
## 2580 1229.65116 0.00000
## 2581 1229.65116 0.00000
## 2582 1229.65116 0.00000
## 2583 1229.65116 0.00000
## 2584 1229.65116 0.00000
## 2585 1229.65116 0.00000
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## 2587 1229.65116 0.00000
## 2588 1229.65116 0.00000
## 2589 1229.65116 0.00000
## 2590 1229.65116 0.00000
## 2591 1229.65116 0.00000
## 2592 1229.65116 0.00000
## 2593 1055.23256 1081.39535
## 2594 1055.23256 1081.39535
## 2595 1055.23256 1081.39535
## 2596 1055.23256 1081.39535
## 2597 1055.23256 1081.39535
## 2598 1055.23256 1081.39535
## 2599 1055.23256 1081.39535
## 2600 1055.23256 1081.39535
## 2601 1055.23256 1081.39535
## 2602 1055.23256 1081.39535
## 2603 1055.23256 1081.39535
## 2604 1055.23256 1081.39535
## 2605 1055.23256 1081.39535
## 2606 1055.23256 1081.39535
## 2607 1055.23256 1081.39535
## 2608 1055.23256 1081.39535
## 2609 1055.23256 1081.39535
## 2610 1055.23256 1081.39535
## 2611 1055.23256 1081.39535
## 2612 1055.23256 1081.39535
## 2613 1055.23256 1081.39535
## 2614 1055.23256 1081.39535
## 2615 1055.23256 1081.39535
## 2616 1055.23256 1081.39535
## 2617 1561.04651 0.00000
## 2618 1561.04651 0.00000
## 2619 1561.04651 0.00000
## 2620 1561.04651 0.00000
## 2621 1561.04651 0.00000
## 2622 1561.04651 0.00000
## 2623 1561.04651 0.00000
## 2624 1561.04651 0.00000
## 2625 1561.04651 0.00000
## 2626 1561.04651 0.00000
## 2627 1561.04651 0.00000
## 2628 1561.04651 0.00000
## 2629 1561.04651 0.00000
## 2630 1561.04651 0.00000
## 2631 1561.04651 0.00000
## total_metaecosystem_Spi_te_indiv total_metaecosystem_Tet_indiv connection
## 1 981.9767 2243.895 isolated
## 2 981.9767 2243.895 isolated
## 3 981.9767 2243.895 isolated
## 4 981.9767 2243.895 isolated
## 5 981.9767 2243.895 isolated
## 6 981.9767 2243.895 isolated
## 7 981.9767 2243.895 isolated
## 8 981.9767 2243.895 isolated
## 9 981.9767 2243.895 isolated
## 10 981.9767 2243.895 isolated
## 11 981.9767 2243.895 isolated
## 12 981.9767 2243.895 isolated
## 13 981.9767 2243.895 isolated
## 14 981.9767 2243.895 isolated
## 15 981.9767 2243.895 isolated
## 16 981.9767 2243.895 isolated
## 17 981.9767 2243.895 isolated
## 18 981.9767 2243.895 isolated
## 19 981.9767 2243.895 isolated
## 20 981.9767 2243.895 isolated
## 21 981.9767 2243.895 isolated
## 22 981.9767 2243.895 isolated
## 23 981.9767 2243.895 isolated
## 24 981.9767 2243.895 isolated
## 25 1090.1163 0.000 isolated
## 26 1090.1163 0.000 isolated
## 27 1090.1163 0.000 isolated
## 28 1090.1163 0.000 isolated
## 29 1090.1163 0.000 isolated
## 30 1090.1163 0.000 isolated
## 31 1090.1163 0.000 isolated
## 32 1090.1163 0.000 isolated
## 33 1090.1163 0.000 isolated
## 34 1090.1163 0.000 isolated
## 35 1090.1163 0.000 isolated
## 36 1090.1163 0.000 isolated
## 37 1090.1163 0.000 isolated
## 38 1090.1163 0.000 isolated
## 39 1090.1163 0.000 isolated
## 40 1090.1163 0.000 isolated
## 41 1090.1163 0.000 isolated
## 42 1090.1163 0.000 isolated
## 43 1090.1163 0.000 isolated
## 44 1090.1163 0.000 isolated
## 45 1090.1163 0.000 isolated
## 46 1090.1163 0.000 isolated
## 47 1090.1163 0.000 isolated
## 48 1090.1163 0.000 isolated
## 49 2084.3023 0.000 isolated
## 50 2084.3023 0.000 isolated
## 51 2084.3023 0.000 isolated
## 52 2084.3023 0.000 isolated
## 53 2084.3023 0.000 isolated
## 54 2084.3023 0.000 isolated
## 55 2084.3023 0.000 isolated
## 56 2084.3023 0.000 isolated
## 57 2084.3023 0.000 isolated
## 58 2084.3023 0.000 isolated
## 59 2084.3023 0.000 isolated
## 60 2084.3023 0.000 isolated
## 61 2084.3023 0.000 isolated
## 62 2084.3023 0.000 isolated
## 63 2084.3023 0.000 isolated
## 64 2084.3023 0.000 isolated
## 65 2084.3023 0.000 isolated
## 66 2084.3023 0.000 isolated
## 67 2084.3023 0.000 isolated
## 68 2084.3023 0.000 isolated
## 69 2084.3023 0.000 isolated
## 70 2084.3023 0.000 isolated
## 71 2084.3023 0.000 isolated
## 72 2084.3023 0.000 isolated
## 73 2947.6744 0.000 isolated
## 74 2947.6744 0.000 isolated
## 75 2947.6744 0.000 isolated
## 76 2947.6744 0.000 isolated
## 77 2947.6744 0.000 isolated
## 78 2947.6744 0.000 isolated
## 79 2947.6744 0.000 isolated
## 80 2947.6744 0.000 isolated
## 81 2947.6744 0.000 isolated
## 82 2947.6744 0.000 isolated
## 83 2947.6744 0.000 isolated
## 84 2947.6744 0.000 isolated
## 85 2947.6744 0.000 isolated
## 86 2947.6744 0.000 isolated
## 87 2947.6744 0.000 isolated
## 88 2947.6744 0.000 isolated
## 89 2947.6744 0.000 isolated
## 90 2947.6744 0.000 isolated
## 91 2947.6744 0.000 isolated
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## 1736 981.9767 2243.895 isolated
## 1737 981.9767 2243.895 isolated
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## 1742 981.9767 2243.895 isolated
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## 1746 981.9767 2243.895 isolated
## 1747 981.9767 2243.895 isolated
## 1748 981.9767 2243.895 isolated
## 1749 981.9767 2243.895 isolated
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## 1843 1090.1163 0.000 isolated
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## 1846 1090.1163 0.000 isolated
## 1847 1090.1163 0.000 isolated
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## 1849 1090.1163 0.000 isolated
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## 1853 1090.1163 0.000 isolated
## 1854 1090.1163 0.000 isolated
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## 1863 1090.1163 0.000 isolated
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## 1869 1090.1163 0.000 isolated
## 1870 1090.1163 0.000 isolated
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## 1875 3126.4535 0.000 isolated
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## 1877 3126.4535 0.000 isolated
## 1878 3126.4535 0.000 isolated
## 1879 3126.4535 0.000 isolated
## 1880 3126.4535 0.000 isolated
## 1881 3126.4535 0.000 isolated
## 1882 3126.4535 0.000 isolated
## 1883 3126.4535 0.000 isolated
## 1884 3126.4535 0.000 isolated
## 1885 3126.4535 0.000 isolated
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## 1887 3126.4535 0.000 isolated
## 1888 3126.4535 0.000 isolated
## 1889 3126.4535 0.000 isolated
## 1890 3126.4535 0.000 isolated
## 1891 3126.4535 0.000 isolated
## 1892 3126.4535 0.000 isolated
## 1893 3126.4535 0.000 isolated
## 1894 3126.4535 0.000 isolated
## 1895 3126.4535 0.000 isolated
## 1896 3126.4535 0.000 isolated
## 1897 1077.0349 0.000 isolated
## 1898 1077.0349 0.000 isolated
## 1899 1077.0349 0.000 isolated
## 1900 1077.0349 0.000 isolated
## 1901 1077.0349 0.000 isolated
## 1902 1077.0349 0.000 isolated
## 1903 1077.0349 0.000 isolated
## 1904 1077.0349 0.000 isolated
## 1905 1077.0349 0.000 isolated
## 1906 1077.0349 0.000 isolated
## 1907 1077.0349 0.000 isolated
## 1908 1077.0349 0.000 isolated
## 1909 1077.0349 0.000 isolated
## 1910 1077.0349 0.000 isolated
## 1911 1077.0349 0.000 isolated
## 1912 1077.0349 0.000 isolated
## 1913 1077.0349 0.000 isolated
## 1914 1077.0349 0.000 isolated
## 1915 1077.0349 0.000 isolated
## 1916 1077.0349 0.000 isolated
## 1917 1077.0349 0.000 isolated
## 1918 1077.0349 0.000 isolated
## 1919 1077.0349 0.000 isolated
## 1920 1077.0349 0.000 isolated
## 1921 981.9767 2243.895 isolated
## 1922 981.9767 2243.895 isolated
## 1923 981.9767 2243.895 isolated
## 1924 981.9767 2243.895 isolated
## 1925 981.9767 2243.895 isolated
## 1926 981.9767 2243.895 isolated
## 1927 981.9767 2243.895 isolated
## 1928 981.9767 2243.895 isolated
## 1929 981.9767 2243.895 isolated
## 1930 981.9767 2243.895 isolated
## 1931 981.9767 2243.895 isolated
## 1932 981.9767 2243.895 isolated
## 1933 981.9767 2243.895 isolated
## 1934 981.9767 2243.895 isolated
## 1935 981.9767 2243.895 isolated
## 1936 981.9767 2243.895 isolated
## 1937 981.9767 2243.895 isolated
## 1938 981.9767 2243.895 isolated
## 1939 981.9767 2243.895 isolated
## 1940 981.9767 2243.895 isolated
## 1941 981.9767 2243.895 isolated
## 1942 981.9767 2243.895 isolated
## 1943 981.9767 2243.895 isolated
## 1944 981.9767 2243.895 isolated
## 1945 1526.1628 0.000 isolated
## 1946 1526.1628 0.000 isolated
## 1947 1526.1628 0.000 isolated
## 1948 1526.1628 0.000 isolated
## 1949 1526.1628 0.000 isolated
## 1950 1526.1628 0.000 isolated
## 1951 1526.1628 0.000 isolated
## 1952 1526.1628 0.000 isolated
## 1953 1526.1628 0.000 isolated
## 1954 1526.1628 0.000 isolated
## 1955 1526.1628 0.000 isolated
## 1956 1526.1628 0.000 isolated
## 1957 1526.1628 0.000 isolated
## 1958 1526.1628 0.000 isolated
## 1959 1526.1628 0.000 isolated
## 1960 1526.1628 0.000 isolated
## 1961 1526.1628 0.000 isolated
## 1962 1526.1628 0.000 isolated
## 1963 1526.1628 0.000 isolated
## 1964 1526.1628 0.000 isolated
## 1965 1526.1628 0.000 isolated
## 1966 1526.1628 0.000 isolated
## 1967 1526.1628 0.000 isolated
## 1968 1526.1628 0.000 isolated
## 1969 1793.0233 0.000 isolated
## 1970 1793.0233 0.000 isolated
## 1971 1793.0233 0.000 isolated
## 1972 1793.0233 0.000 isolated
## 1973 1793.0233 0.000 isolated
## 1974 1793.0233 0.000 isolated
## 1975 1793.0233 0.000 isolated
## 1976 1793.0233 0.000 isolated
## 1977 1793.0233 0.000 isolated
## 1978 1793.0233 0.000 isolated
## 1979 1793.0233 0.000 isolated
## 1980 1793.0233 0.000 isolated
## 1981 1793.0233 0.000 isolated
## 1982 1793.0233 0.000 isolated
## 1983 1793.0233 0.000 isolated
## 1984 1793.0233 0.000 isolated
## 1985 1793.0233 0.000 isolated
## 1986 1793.0233 0.000 isolated
## 1987 1793.0233 0.000 isolated
## 1988 1793.0233 0.000 isolated
## 1989 1793.0233 0.000 isolated
## 1990 1793.0233 0.000 isolated
## 1991 1793.0233 0.000 isolated
## 1992 1793.0233 0.000 isolated
## 1993 3165.6977 0.000 isolated
## 1994 3165.6977 0.000 isolated
## 1995 3165.6977 0.000 isolated
## 1996 3165.6977 0.000 isolated
## 1997 3165.6977 0.000 isolated
## 1998 3165.6977 0.000 isolated
## 1999 3165.6977 0.000 isolated
## 2000 3165.6977 0.000 isolated
## 2001 3165.6977 0.000 isolated
## 2002 3165.6977 0.000 isolated
## 2003 3165.6977 0.000 isolated
## 2004 3165.6977 0.000 isolated
## 2005 3165.6977 0.000 isolated
## 2006 3165.6977 0.000 isolated
## 2007 3165.6977 0.000 isolated
## 2008 3165.6977 0.000 isolated
## 2009 3165.6977 0.000 isolated
## 2010 3165.6977 0.000 isolated
## 2011 3165.6977 0.000 isolated
## 2012 3165.6977 0.000 isolated
## 2013 3165.6977 0.000 isolated
## 2014 3165.6977 0.000 isolated
## 2015 3165.6977 0.000 isolated
## 2016 3165.6977 0.000 isolated
## 2017 1090.1163 0.000 isolated
## 2018 1090.1163 0.000 isolated
## 2019 1090.1163 0.000 isolated
## 2020 1090.1163 0.000 isolated
## 2021 1090.1163 0.000 isolated
## 2022 1090.1163 0.000 isolated
## 2023 1090.1163 0.000 isolated
## 2024 1090.1163 0.000 isolated
## 2025 1090.1163 0.000 isolated
## 2026 1090.1163 0.000 isolated
## 2027 1090.1163 0.000 isolated
## 2028 1090.1163 0.000 isolated
## 2029 1090.1163 0.000 isolated
## 2030 1090.1163 0.000 isolated
## 2031 1090.1163 0.000 isolated
## 2032 1090.1163 0.000 isolated
## 2033 1090.1163 0.000 isolated
## 2034 1090.1163 0.000 isolated
## 2035 1090.1163 0.000 isolated
## 2036 1090.1163 0.000 isolated
## 2037 1090.1163 0.000 isolated
## 2038 1090.1163 0.000 isolated
## 2039 1090.1163 0.000 isolated
## 2040 1090.1163 0.000 isolated
## 2041 767.4419 0.000 isolated
## 2042 767.4419 0.000 isolated
## 2043 767.4419 0.000 isolated
## 2044 767.4419 0.000 isolated
## 2045 767.4419 0.000 isolated
## 2046 767.4419 0.000 isolated
## 2047 767.4419 0.000 isolated
## 2048 767.4419 0.000 isolated
## 2049 767.4419 0.000 isolated
## 2050 767.4419 0.000 isolated
## 2051 767.4419 0.000 isolated
## 2052 767.4419 0.000 isolated
## 2053 767.4419 0.000 isolated
## 2054 767.4419 0.000 isolated
## 2055 767.4419 0.000 isolated
## 2056 767.4419 0.000 isolated
## 2057 767.4419 0.000 isolated
## 2058 767.4419 0.000 isolated
## 2059 767.4419 0.000 isolated
## 2060 767.4419 0.000 isolated
## 2061 767.4419 0.000 isolated
## 2062 767.4419 0.000 isolated
## 2063 767.4419 0.000 isolated
## 2064 767.4419 0.000 isolated
## 2065 1460.7558 0.000 isolated
## 2066 1460.7558 0.000 isolated
## 2067 1460.7558 0.000 isolated
## 2068 1460.7558 0.000 isolated
## 2069 1460.7558 0.000 isolated
## 2070 1460.7558 0.000 isolated
## 2071 1460.7558 0.000 isolated
## 2072 1460.7558 0.000 isolated
## 2073 1460.7558 0.000 isolated
## 2074 1460.7558 0.000 isolated
## 2075 1460.7558 0.000 isolated
## 2076 1460.7558 0.000 isolated
## 2077 1460.7558 0.000 isolated
## 2078 1460.7558 0.000 isolated
## 2079 1460.7558 0.000 isolated
## 2080 1460.7558 0.000 isolated
## 2081 1460.7558 0.000 isolated
## 2082 1460.7558 0.000 isolated
## 2083 1460.7558 0.000 isolated
## 2084 1460.7558 0.000 isolated
## 2085 1460.7558 0.000 isolated
## 2086 1460.7558 0.000 isolated
## 2087 1460.7558 0.000 isolated
## 2088 1460.7558 0.000 isolated
## 2089 187.5000 0.000 isolated
## 2090 187.5000 0.000 isolated
## 2091 187.5000 0.000 isolated
## 2092 187.5000 0.000 isolated
## 2093 187.5000 0.000 isolated
## 2094 187.5000 0.000 isolated
## 2095 187.5000 0.000 isolated
## 2096 187.5000 0.000 isolated
## 2097 187.5000 0.000 isolated
## 2098 187.5000 0.000 isolated
## 2099 187.5000 0.000 isolated
## 2100 187.5000 0.000 isolated
## 2101 187.5000 0.000 isolated
## 2102 187.5000 0.000 isolated
## 2103 187.5000 0.000 isolated
## 2104 187.5000 0.000 isolated
## 2105 187.5000 0.000 isolated
## 2106 187.5000 0.000 isolated
## 2107 187.5000 0.000 isolated
## 2108 187.5000 0.000 isolated
## 2109 187.5000 0.000 isolated
## 2110 187.5000 0.000 isolated
## 2111 187.5000 0.000 isolated
## 2112 187.5000 0.000 isolated
## 2113 981.9767 2243.895 isolated
## 2114 981.9767 2243.895 isolated
## 2115 981.9767 2243.895 isolated
## 2116 981.9767 2243.895 isolated
## 2117 981.9767 2243.895 isolated
## 2118 981.9767 2243.895 isolated
## 2119 981.9767 2243.895 isolated
## 2120 981.9767 2243.895 isolated
## 2121 981.9767 2243.895 isolated
## 2122 981.9767 2243.895 isolated
## 2123 981.9767 2243.895 isolated
## 2124 981.9767 2243.895 isolated
## 2125 981.9767 2243.895 isolated
## 2126 981.9767 2243.895 isolated
## 2127 981.9767 2243.895 isolated
## 2128 981.9767 2243.895 isolated
## 2129 981.9767 2243.895 isolated
## 2130 981.9767 2243.895 isolated
## 2131 981.9767 2243.895 isolated
## 2132 981.9767 2243.895 isolated
## 2133 981.9767 2243.895 isolated
## 2134 981.9767 2243.895 isolated
## 2135 981.9767 2243.895 isolated
## 2136 981.9767 2243.895 isolated
## 2137 436.0465 0.000 isolated
## 2138 436.0465 0.000 isolated
## 2139 436.0465 0.000 isolated
## 2140 436.0465 0.000 isolated
## 2141 436.0465 0.000 isolated
## 2142 436.0465 0.000 isolated
## 2143 436.0465 0.000 isolated
## 2144 436.0465 0.000 isolated
## 2145 436.0465 0.000 isolated
## 2146 436.0465 0.000 isolated
## 2147 436.0465 0.000 isolated
## 2148 436.0465 0.000 isolated
## 2149 436.0465 0.000 isolated
## 2150 436.0465 0.000 isolated
## 2151 436.0465 0.000 isolated
## 2152 436.0465 0.000 isolated
## 2153 436.0465 0.000 isolated
## 2154 436.0465 0.000 isolated
## 2155 436.0465 0.000 isolated
## 2156 436.0465 0.000 isolated
## 2157 436.0465 0.000 isolated
## 2158 436.0465 0.000 isolated
## 2159 436.0465 0.000 isolated
## 2160 436.0465 0.000 isolated
## 2161 1705.8140 0.000 isolated
## 2162 1705.8140 0.000 isolated
## 2163 1705.8140 0.000 isolated
## 2164 1705.8140 0.000 isolated
## 2165 1705.8140 0.000 isolated
## 2166 1705.8140 0.000 isolated
## 2167 1705.8140 0.000 isolated
## 2168 1705.8140 0.000 isolated
## 2169 1705.8140 0.000 isolated
## 2170 1705.8140 0.000 isolated
## 2171 1705.8140 0.000 isolated
## 2172 1705.8140 0.000 isolated
## 2173 1705.8140 0.000 isolated
## 2174 1705.8140 0.000 isolated
## 2175 1705.8140 0.000 isolated
## 2176 1705.8140 0.000 isolated
## 2177 1705.8140 0.000 isolated
## 2178 1705.8140 0.000 isolated
## 2179 1705.8140 0.000 isolated
## 2180 1705.8140 0.000 isolated
## 2181 1705.8140 0.000 isolated
## 2182 1705.8140 0.000 isolated
## 2183 1705.8140 0.000 isolated
## 2184 1705.8140 0.000 isolated
## 2185 3340.1163 0.000 isolated
## 2186 3340.1163 0.000 isolated
## 2187 3340.1163 0.000 isolated
## 2188 3340.1163 0.000 isolated
## 2189 3340.1163 0.000 isolated
## 2190 3340.1163 0.000 isolated
## 2191 3340.1163 0.000 isolated
## 2192 3340.1163 0.000 isolated
## 2193 3340.1163 0.000 isolated
## 2194 3340.1163 0.000 isolated
## 2195 3340.1163 0.000 isolated
## 2196 3340.1163 0.000 isolated
## 2197 3340.1163 0.000 isolated
## 2198 3340.1163 0.000 isolated
## 2199 3340.1163 0.000 isolated
## 2200 3340.1163 0.000 isolated
## 2201 3340.1163 0.000 isolated
## 2202 3340.1163 0.000 isolated
## 2203 3340.1163 0.000 isolated
## 2204 3340.1163 0.000 isolated
## 2205 3340.1163 0.000 isolated
## 2206 3340.1163 0.000 isolated
## 2207 3340.1163 0.000 isolated
## 2208 3340.1163 0.000 isolated
## 2209 0.0000 0.000 isolated
## 2210 0.0000 0.000 isolated
## 2211 0.0000 0.000 isolated
## 2212 0.0000 0.000 isolated
## 2213 0.0000 0.000 isolated
## 2214 0.0000 0.000 isolated
## 2215 0.0000 0.000 isolated
## 2216 0.0000 0.000 isolated
## 2217 0.0000 0.000 isolated
## 2218 0.0000 0.000 isolated
## 2219 0.0000 0.000 isolated
## 2220 0.0000 0.000 isolated
## 2221 0.0000 0.000 isolated
## 2222 0.0000 0.000 isolated
## 2223 0.0000 0.000 isolated
## 2224 0.0000 0.000 isolated
## 2225 0.0000 0.000 isolated
## 2226 0.0000 0.000 isolated
## 2227 0.0000 0.000 isolated
## 2228 0.0000 0.000 isolated
## 2229 0.0000 0.000 isolated
## 2230 0.0000 0.000 isolated
## 2231 0.0000 0.000 isolated
## 2232 0.0000 0.000 isolated
## 2233 3270.3488 0.000 isolated
## 2234 3270.3488 0.000 isolated
## 2235 3270.3488 0.000 isolated
## 2236 3270.3488 0.000 isolated
## 2237 3270.3488 0.000 isolated
## 2238 3270.3488 0.000 isolated
## 2239 3270.3488 0.000 isolated
## 2240 3270.3488 0.000 isolated
## 2241 3270.3488 0.000 isolated
## 2242 3270.3488 0.000 isolated
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## 2244 3270.3488 0.000 isolated
## 2245 3270.3488 0.000 isolated
## 2246 3270.3488 0.000 isolated
## 2247 3270.3488 0.000 isolated
## 2248 3270.3488 0.000 isolated
## 2249 3270.3488 0.000 isolated
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## 2251 3270.3488 0.000 isolated
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## 2253 3270.3488 0.000 isolated
## 2254 3270.3488 0.000 isolated
## 2255 3270.3488 0.000 isolated
## 2256 3270.3488 0.000 isolated
## 2257 218.0233 0.000 isolated
## 2258 218.0233 0.000 isolated
## 2259 218.0233 0.000 isolated
## 2260 218.0233 0.000 isolated
## 2261 218.0233 0.000 isolated
## 2262 218.0233 0.000 isolated
## 2263 218.0233 0.000 isolated
## 2264 218.0233 0.000 isolated
## 2265 218.0233 0.000 isolated
## 2266 218.0233 0.000 isolated
## 2267 218.0233 0.000 isolated
## 2268 218.0233 0.000 isolated
## 2269 218.0233 0.000 isolated
## 2270 218.0233 0.000 isolated
## 2271 218.0233 0.000 isolated
## 2272 218.0233 0.000 isolated
## 2273 218.0233 0.000 isolated
## 2274 218.0233 0.000 isolated
## 2275 218.0233 0.000 isolated
## 2276 218.0233 0.000 isolated
## 2277 218.0233 0.000 isolated
## 2278 218.0233 0.000 isolated
## 2279 218.0233 0.000 isolated
## 2280 218.0233 0.000 isolated
## 2281 928.7791 0.000 isolated
## 2282 928.7791 0.000 isolated
## 2283 928.7791 0.000 isolated
## 2284 928.7791 0.000 isolated
## 2285 928.7791 0.000 isolated
## 2286 928.7791 0.000 isolated
## 2287 928.7791 0.000 isolated
## 2288 928.7791 0.000 isolated
## 2289 928.7791 0.000 isolated
## 2290 928.7791 0.000 isolated
## 2291 928.7791 0.000 isolated
## 2292 928.7791 0.000 isolated
## 2293 928.7791 0.000 isolated
## 2294 928.7791 0.000 isolated
## 2295 928.7791 0.000 isolated
## 2296 928.7791 0.000 isolated
## 2297 928.7791 0.000 isolated
## 2298 928.7791 0.000 isolated
## 2299 928.7791 0.000 isolated
## 2300 928.7791 0.000 isolated
## 2301 928.7791 0.000 isolated
## 2302 928.7791 0.000 isolated
## 2303 928.7791 0.000 isolated
## 2304 928.7791 0.000 isolated
## 2305 981.9767 2243.895 isolated
## 2306 981.9767 2243.895 isolated
## 2307 981.9767 2243.895 isolated
## 2308 981.9767 2243.895 isolated
## 2309 981.9767 2243.895 isolated
## 2310 981.9767 2243.895 isolated
## 2311 981.9767 2243.895 isolated
## 2312 981.9767 2243.895 isolated
## 2313 981.9767 2243.895 isolated
## 2314 981.9767 2243.895 isolated
## 2315 981.9767 2243.895 isolated
## 2316 981.9767 2243.895 isolated
## 2317 981.9767 2243.895 isolated
## 2318 981.9767 2243.895 isolated
## 2319 981.9767 2243.895 isolated
## 2320 981.9767 2243.895 isolated
## 2321 981.9767 2243.895 isolated
## 2322 981.9767 2243.895 isolated
## 2323 981.9767 2243.895 isolated
## 2324 981.9767 2243.895 isolated
## 2325 981.9767 2243.895 isolated
## 2326 981.9767 2243.895 isolated
## 2327 981.9767 2243.895 isolated
## 2328 981.9767 2243.895 isolated
## 2329 3261.6279 0.000 isolated
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## 2331 3261.6279 0.000 isolated
## 2332 3261.6279 0.000 isolated
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## 2334 3261.6279 0.000 isolated
## 2335 3261.6279 0.000 isolated
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## 2337 3261.6279 0.000 isolated
## 2338 3261.6279 0.000 isolated
## 2339 3261.6279 0.000 isolated
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## 2343 3261.6279 0.000 isolated
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## 2349 3261.6279 0.000 isolated
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## 2351 3261.6279 0.000 isolated
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## 2357 2883.1395 0.000 isolated
## 2358 2883.1395 0.000 isolated
## 2359 2883.1395 0.000 isolated
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## 2404 2215.1163 0.000 isolated
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## 2407 2215.1163 0.000 isolated
## 2408 2215.1163 0.000 isolated
## 2409 2215.1163 0.000 isolated
## 2410 2215.1163 0.000 isolated
## 2411 2215.1163 0.000 isolated
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## 2413 2215.1163 0.000 isolated
## 2414 2215.1163 0.000 isolated
## 2415 2215.1163 0.000 isolated
## 2416 2215.1163 0.000 isolated
## 2417 2215.1163 0.000 isolated
## 2418 2215.1163 0.000 isolated
## 2419 2215.1163 0.000 isolated
## 2420 2215.1163 0.000 isolated
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## 2422 2215.1163 0.000 isolated
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## 2430 5450.5814 0.000 isolated
## 2431 5450.5814 0.000 isolated
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## 2433 5450.5814 0.000 isolated
## 2434 5450.5814 0.000 isolated
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## 2436 5450.5814 0.000 isolated
## 2437 5450.5814 0.000 isolated
## 2438 5450.5814 0.000 isolated
## 2439 5450.5814 0.000 isolated
## 2440 5450.5814 0.000 isolated
## 2441 5450.5814 0.000 isolated
## 2442 5450.5814 0.000 isolated
## 2443 5450.5814 0.000 isolated
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## 2445 5450.5814 0.000 isolated
## 2446 5450.5814 0.000 isolated
## 2447 5450.5814 0.000 isolated
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## 2449 806.6860 0.000 isolated
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## 2453 806.6860 0.000 isolated
## 2454 806.6860 0.000 isolated
## 2455 806.6860 0.000 isolated
## 2456 806.6860 0.000 isolated
## 2457 806.6860 0.000 isolated
## 2458 806.6860 0.000 isolated
## 2459 806.6860 0.000 isolated
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## 2469 806.6860 0.000 isolated
## 2470 806.6860 0.000 isolated
## 2471 806.6860 0.000 isolated
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## 2482 1229.6512 0.000 isolated
## 2483 1229.6512 0.000 isolated
## 2484 1229.6512 0.000 isolated
## 2485 1229.6512 0.000 isolated
## 2486 1229.6512 0.000 isolated
## 2487 1229.6512 0.000 isolated
## 2488 1229.6512 0.000 isolated
## 2489 1229.6512 0.000 isolated
## 2490 1229.6512 0.000 isolated
## 2491 1229.6512 0.000 isolated
## 2492 1229.6512 0.000 isolated
## 2493 1229.6512 0.000 isolated
## 2494 1229.6512 0.000 isolated
## 2495 1229.6512 0.000 isolated
## 2496 1229.6512 0.000 isolated
## 2497 981.9767 2243.895 isolated
## 2498 981.9767 2243.895 isolated
## 2499 981.9767 2243.895 isolated
## 2500 981.9767 2243.895 isolated
## 2501 981.9767 2243.895 isolated
## 2502 981.9767 2243.895 isolated
## 2503 981.9767 2243.895 isolated
## 2504 981.9767 2243.895 isolated
## 2505 981.9767 2243.895 isolated
## 2506 981.9767 2243.895 isolated
## 2507 981.9767 2243.895 isolated
## 2508 981.9767 2243.895 isolated
## 2509 981.9767 2243.895 isolated
## 2510 981.9767 2243.895 isolated
## 2511 981.9767 2243.895 isolated
## 2512 981.9767 2243.895 isolated
## 2513 981.9767 2243.895 isolated
## 2514 981.9767 2243.895 isolated
## 2515 981.9767 2243.895 isolated
## 2516 981.9767 2243.895 isolated
## 2517 981.9767 2243.895 isolated
## 2518 981.9767 2243.895 isolated
## 2519 981.9767 2243.895 isolated
## 2520 981.9767 2243.895 isolated
## 2521 2616.2791 0.000 isolated
## 2522 2616.2791 0.000 isolated
## 2523 2616.2791 0.000 isolated
## 2524 2616.2791 0.000 isolated
## 2525 2616.2791 0.000 isolated
## 2526 2616.2791 0.000 isolated
## 2527 2616.2791 0.000 isolated
## 2528 2616.2791 0.000 isolated
## 2529 2616.2791 0.000 isolated
## 2530 2616.2791 0.000 isolated
## 2531 2616.2791 0.000 isolated
## 2532 2616.2791 0.000 isolated
## 2533 2616.2791 0.000 isolated
## 2534 2616.2791 0.000 isolated
## 2535 2616.2791 0.000 isolated
## 2536 2616.2791 0.000 isolated
## 2537 2616.2791 0.000 isolated
## 2538 2616.2791 0.000 isolated
## 2539 2616.2791 0.000 isolated
## 2540 2616.2791 0.000 isolated
## 2541 2616.2791 0.000 isolated
## 2542 2616.2791 0.000 isolated
## 2543 2616.2791 0.000 isolated
## 2544 2616.2791 0.000 isolated
## 2545 1793.0233 0.000 isolated
## 2546 1793.0233 0.000 isolated
## 2547 1793.0233 0.000 isolated
## 2548 1793.0233 0.000 isolated
## 2549 1793.0233 0.000 isolated
## 2550 1793.0233 0.000 isolated
## 2551 1793.0233 0.000 isolated
## 2552 1793.0233 0.000 isolated
## 2553 1793.0233 0.000 isolated
## 2554 1793.0233 0.000 isolated
## 2555 1793.0233 0.000 isolated
## 2556 1793.0233 0.000 isolated
## 2557 1793.0233 0.000 isolated
## 2558 1793.0233 0.000 isolated
## 2559 1793.0233 0.000 isolated
## 2560 1793.0233 0.000 isolated
## 2561 1793.0233 0.000 isolated
## 2562 1793.0233 0.000 isolated
## 2563 1793.0233 0.000 isolated
## 2564 1793.0233 0.000 isolated
## 2565 1793.0233 0.000 isolated
## 2566 1793.0233 0.000 isolated
## 2567 1793.0233 0.000 isolated
## 2568 1793.0233 0.000 isolated
## 2569 1308.1395 0.000 isolated
## 2570 1308.1395 0.000 isolated
## 2571 1308.1395 0.000 isolated
## 2572 1308.1395 0.000 isolated
## 2573 1308.1395 0.000 isolated
## 2574 1308.1395 0.000 isolated
## 2575 1308.1395 0.000 isolated
## 2576 1308.1395 0.000 isolated
## 2577 1308.1395 0.000 isolated
## 2578 1308.1395 0.000 isolated
## 2579 1308.1395 0.000 isolated
## 2580 1308.1395 0.000 isolated
## 2581 1308.1395 0.000 isolated
## 2582 1308.1395 0.000 isolated
## 2583 1308.1395 0.000 isolated
## 2584 1308.1395 0.000 isolated
## 2585 1308.1395 0.000 isolated
## 2586 1308.1395 0.000 isolated
## 2587 1308.1395 0.000 isolated
## 2588 1308.1395 0.000 isolated
## 2589 1308.1395 0.000 isolated
## 2590 1308.1395 0.000 isolated
## 2591 1308.1395 0.000 isolated
## 2592 1308.1395 0.000 isolated
## 2593 0.0000 0.000 isolated
## 2594 0.0000 0.000 isolated
## 2595 0.0000 0.000 isolated
## 2596 0.0000 0.000 isolated
## 2597 0.0000 0.000 isolated
## 2598 0.0000 0.000 isolated
## 2599 0.0000 0.000 isolated
## 2600 0.0000 0.000 isolated
## 2601 0.0000 0.000 isolated
## 2602 0.0000 0.000 isolated
## 2603 0.0000 0.000 isolated
## 2604 0.0000 0.000 isolated
## 2605 0.0000 0.000 isolated
## 2606 0.0000 0.000 isolated
## 2607 0.0000 0.000 isolated
## 2608 0.0000 0.000 isolated
## 2609 0.0000 0.000 isolated
## 2610 0.0000 0.000 isolated
## 2611 0.0000 0.000 isolated
## 2612 0.0000 0.000 isolated
## 2613 0.0000 0.000 isolated
## 2614 0.0000 0.000 isolated
## 2615 0.0000 0.000 isolated
## 2616 0.0000 0.000 isolated
## 2617 0.0000 0.000 isolated
## 2618 0.0000 0.000 isolated
## 2619 0.0000 0.000 isolated
## 2620 0.0000 0.000 isolated
## 2621 0.0000 0.000 isolated
## 2622 0.0000 0.000 isolated
## 2623 0.0000 0.000 isolated
## 2624 0.0000 0.000 isolated
## 2625 0.0000 0.000 isolated
## 2626 0.0000 0.000 isolated
## 2627 0.0000 0.000 isolated
## 2628 0.0000 0.000 isolated
## 2629 0.0000 0.000 isolated
## 2630 0.0000 0.000 isolated
## 2631 0.0000 0.000 isolated
## patch_size_symmetry baseline_total_metaecosystem_bioarea_mm2
## 1 asymmetric 152.9084
## 2 asymmetric 152.9084
## 3 asymmetric 152.9084
## 4 asymmetric 152.9084
## 5 asymmetric 152.9084
## 6 asymmetric 152.9084
## 7 asymmetric 152.9084
## 8 asymmetric 152.9084
## 9 asymmetric 152.9084
## 10 asymmetric 152.9084
## 11 asymmetric 152.9084
## 12 asymmetric 152.9084
## 13 asymmetric 152.9084
## 14 asymmetric 152.9084
## 15 asymmetric 152.9084
## 16 asymmetric 152.9084
## 17 asymmetric 152.9084
## 18 asymmetric 152.9084
## 19 asymmetric 152.9084
## 20 asymmetric 152.9084
## 21 asymmetric 152.9084
## 22 asymmetric 152.9084
## 23 asymmetric 152.9084
## 24 asymmetric 152.9084
## 25 asymmetric 152.9084
## 26 asymmetric 152.9084
## 27 asymmetric 152.9084
## 28 asymmetric 152.9084
## 29 asymmetric 152.9084
## 30 asymmetric 152.9084
## 31 asymmetric 152.9084
## 32 asymmetric 152.9084
## 33 asymmetric 152.9084
## 34 asymmetric 152.9084
## 35 asymmetric 152.9084
## 36 asymmetric 152.9084
## 37 asymmetric 152.9084
## 38 asymmetric 152.9084
## 39 asymmetric 152.9084
## 40 asymmetric 152.9084
## 41 asymmetric 152.9084
## 42 asymmetric 152.9084
## 43 asymmetric 152.9084
## 44 asymmetric 152.9084
## 45 asymmetric 152.9084
## 46 asymmetric 152.9084
## 47 asymmetric 152.9084
## 48 asymmetric 152.9084
## 49 asymmetric 152.9084
## 50 asymmetric 152.9084
## 51 asymmetric 152.9084
## 52 asymmetric 152.9084
## 53 asymmetric 152.9084
## 54 asymmetric 152.9084
## 55 asymmetric 152.9084
## 56 asymmetric 152.9084
## 57 asymmetric 152.9084
## 58 asymmetric 152.9084
## 59 asymmetric 152.9084
## 60 asymmetric 152.9084
## 61 asymmetric 152.9084
## 62 asymmetric 152.9084
## 63 asymmetric 152.9084
## 64 asymmetric 152.9084
## 65 asymmetric 152.9084
## 66 asymmetric 152.9084
## 67 asymmetric 152.9084
## 68 asymmetric 152.9084
## 69 asymmetric 152.9084
## 70 asymmetric 152.9084
## 71 asymmetric 152.9084
## 72 asymmetric 152.9084
## 73 asymmetric 152.9084
## 74 asymmetric 152.9084
## 75 asymmetric 152.9084
## 76 asymmetric 152.9084
## 77 asymmetric 152.9084
## 78 asymmetric 152.9084
## 79 asymmetric 152.9084
## 80 asymmetric 152.9084
## 81 asymmetric 152.9084
## 82 asymmetric 152.9084
## 83 asymmetric 152.9084
## 84 asymmetric 152.9084
## 85 asymmetric 152.9084
## 86 asymmetric 152.9084
## 87 asymmetric 152.9084
## 88 asymmetric 152.9084
## 89 asymmetric 152.9084
## 90 asymmetric 152.9084
## 91 asymmetric 152.9084
## 92 asymmetric 152.9084
## 93 asymmetric 152.9084
## 94 asymmetric 152.9084
## 95 asymmetric 152.9084
## 96 asymmetric 152.9084
## 97 asymmetric 152.9084
## 98 asymmetric 152.9084
## 99 asymmetric 152.9084
## 100 asymmetric 152.9084
## 101 asymmetric 152.9084
## 102 asymmetric 152.9084
## 103 asymmetric 152.9084
## 104 asymmetric 152.9084
## 105 asymmetric 152.9084
## 106 asymmetric 152.9084
## 107 asymmetric 152.9084
## 108 asymmetric 152.9084
## 109 asymmetric 152.9084
## 110 asymmetric 152.9084
## 111 asymmetric 152.9084
## 112 asymmetric 152.9084
## 113 asymmetric 152.9084
## 114 asymmetric 152.9084
## 115 asymmetric 152.9084
## 116 asymmetric 152.9084
## 117 asymmetric 152.9084
## 118 asymmetric 152.9084
## 119 asymmetric 152.9084
## 120 asymmetric 152.9084
## 121 asymmetric 152.9084
## 122 asymmetric 152.9084
## 123 asymmetric 152.9084
## 124 asymmetric 152.9084
## 125 asymmetric 152.9084
## 126 asymmetric 152.9084
## 127 asymmetric 152.9084
## 128 asymmetric 152.9084
## 129 asymmetric 152.9084
## 130 asymmetric 152.9084
## 131 asymmetric 152.9084
## 132 asymmetric 152.9084
## 133 asymmetric 152.9084
## 134 asymmetric 152.9084
## 135 asymmetric 152.9084
## 136 asymmetric 152.9084
## 137 asymmetric 152.9084
## 138 asymmetric 152.9084
## 139 asymmetric 152.9084
## 140 asymmetric 152.9084
## 141 asymmetric 152.9084
## 142 asymmetric 152.9084
## 143 asymmetric 152.9084
## 144 asymmetric 152.9084
## 145 asymmetric 152.9084
## 146 asymmetric 152.9084
## 147 asymmetric 152.9084
## 148 asymmetric 152.9084
## 149 asymmetric 152.9084
## 150 asymmetric 152.9084
## 151 asymmetric 152.9084
## 152 asymmetric 152.9084
## 153 asymmetric 152.9084
## 154 asymmetric 152.9084
## 155 asymmetric 152.9084
## 156 asymmetric 152.9084
## 157 asymmetric 152.9084
## 158 asymmetric 152.9084
## 159 asymmetric 152.9084
## 160 asymmetric 152.9084
## 161 asymmetric 152.9084
## 162 asymmetric 152.9084
## 163 asymmetric 152.9084
## 164 asymmetric 152.9084
## 165 asymmetric 152.9084
## 166 asymmetric 152.9084
## 167 asymmetric 152.9084
## 168 asymmetric 152.9084
## 169 asymmetric 152.9084
## 170 asymmetric 152.9084
## 171 asymmetric 152.9084
## 172 asymmetric 152.9084
## 173 asymmetric 152.9084
## 174 asymmetric 152.9084
## 175 asymmetric 152.9084
## 176 asymmetric 152.9084
## 177 asymmetric 152.9084
## 178 asymmetric 152.9084
## 179 asymmetric 152.9084
## 180 asymmetric 152.9084
## 181 asymmetric 152.9084
## 182 asymmetric 152.9084
## 183 asymmetric 152.9084
## 184 asymmetric 152.9084
## 185 asymmetric 152.9084
## 186 asymmetric 152.9084
## 187 asymmetric 152.9084
## 188 asymmetric 152.9084
## 189 asymmetric 152.9084
## 190 asymmetric 152.9084
## 191 asymmetric 152.9084
## 192 asymmetric 152.9084
## 193 asymmetric 229.7802
## 194 asymmetric 229.7802
## 195 asymmetric 229.7802
## 196 asymmetric 229.7802
## 197 asymmetric 229.7802
## 198 asymmetric 229.7802
## 199 asymmetric 229.7802
## 200 asymmetric 229.7802
## 201 asymmetric 229.7802
## 202 asymmetric 229.7802
## 203 asymmetric 229.7802
## 204 asymmetric 229.7802
## 205 asymmetric 229.7802
## 206 asymmetric 229.7802
## 207 asymmetric 229.7802
## 208 asymmetric 229.7802
## 209 asymmetric 229.7802
## 210 asymmetric 229.7802
## 211 asymmetric 229.7802
## 212 asymmetric 229.7802
## 213 asymmetric 229.7802
## 214 asymmetric 229.7802
## 215 asymmetric 229.7802
## 216 asymmetric 229.7802
## 217 asymmetric 229.7802
## 218 asymmetric 229.7802
## 219 asymmetric 229.7802
## 220 asymmetric 229.7802
## 221 asymmetric 229.7802
## 222 asymmetric 229.7802
## 223 asymmetric 229.7802
## 224 asymmetric 229.7802
## 225 asymmetric 229.7802
## 226 asymmetric 229.7802
## 227 asymmetric 229.7802
## 228 asymmetric 229.7802
## 229 asymmetric 229.7802
## 230 asymmetric 229.7802
## 231 asymmetric 229.7802
## 232 asymmetric 229.7802
## 233 asymmetric 229.7802
## 234 asymmetric 229.7802
## 235 asymmetric 229.7802
## 236 asymmetric 229.7802
## 237 asymmetric 229.7802
## 238 asymmetric 229.7802
## 239 asymmetric 229.7802
## 240 asymmetric 229.7802
## 241 asymmetric 229.7802
## 242 asymmetric 229.7802
## 243 asymmetric 229.7802
## 244 asymmetric 229.7802
## 245 asymmetric 229.7802
## 246 asymmetric 229.7802
## 247 asymmetric 229.7802
## 248 asymmetric 229.7802
## 249 asymmetric 229.7802
## 250 asymmetric 229.7802
## 251 asymmetric 229.7802
## 252 asymmetric 229.7802
## 253 asymmetric 229.7802
## 254 asymmetric 229.7802
## 255 asymmetric 229.7802
## 256 asymmetric 229.7802
## 257 asymmetric 229.7802
## 258 asymmetric 229.7802
## 259 asymmetric 229.7802
## 260 asymmetric 229.7802
## 261 asymmetric 229.7802
## 262 asymmetric 229.7802
## 263 asymmetric 229.7802
## 264 asymmetric 229.7802
## 265 asymmetric 229.7802
## 266 asymmetric 229.7802
## 267 asymmetric 229.7802
## 268 asymmetric 229.7802
## 269 asymmetric 229.7802
## 270 asymmetric 229.7802
## 271 asymmetric 229.7802
## 272 asymmetric 229.7802
## 273 asymmetric 229.7802
## 274 asymmetric 229.7802
## 275 asymmetric 229.7802
## 276 asymmetric 229.7802
## 277 asymmetric 229.7802
## 278 asymmetric 229.7802
## 279 asymmetric 229.7802
## 280 asymmetric 229.7802
## 281 asymmetric 229.7802
## 282 asymmetric 229.7802
## 283 asymmetric 229.7802
## 284 asymmetric 229.7802
## 285 asymmetric 229.7802
## 286 asymmetric 229.7802
## 287 asymmetric 229.7802
## 288 asymmetric 229.7802
## 289 asymmetric 229.7802
## 290 asymmetric 229.7802
## 291 asymmetric 229.7802
## 292 asymmetric 229.7802
## 293 asymmetric 229.7802
## 294 asymmetric 229.7802
## 295 asymmetric 229.7802
## 296 asymmetric 229.7802
## 297 asymmetric 229.7802
## 298 asymmetric 229.7802
## 299 asymmetric 229.7802
## 300 asymmetric 229.7802
## 301 asymmetric 229.7802
## 302 asymmetric 229.7802
## 303 asymmetric 229.7802
## 304 asymmetric 229.7802
## 305 asymmetric 229.7802
## 306 asymmetric 229.7802
## 307 asymmetric 229.7802
## 308 asymmetric 229.7802
## 309 asymmetric 229.7802
## 310 asymmetric 229.7802
## 311 asymmetric 229.7802
## 312 asymmetric 229.7802
## 313 asymmetric 229.7802
## 314 asymmetric 229.7802
## 315 asymmetric 229.7802
## 316 asymmetric 229.7802
## 317 asymmetric 229.7802
## 318 asymmetric 229.7802
## 319 asymmetric 229.7802
## 320 asymmetric 229.7802
## 321 asymmetric 229.7802
## 322 asymmetric 229.7802
## 323 asymmetric 229.7802
## 324 asymmetric 229.7802
## 325 asymmetric 229.7802
## 326 asymmetric 229.7802
## 327 asymmetric 229.7802
## 328 asymmetric 229.7802
## 329 asymmetric 229.7802
## 330 asymmetric 229.7802
## 331 asymmetric 229.7802
## 332 asymmetric 229.7802
## 333 asymmetric 229.7802
## 334 asymmetric 229.7802
## 335 asymmetric 229.7802
## 336 asymmetric 229.7802
## 337 asymmetric 229.7802
## 338 asymmetric 229.7802
## 339 asymmetric 229.7802
## 340 asymmetric 229.7802
## 341 asymmetric 229.7802
## 342 asymmetric 229.7802
## 343 asymmetric 229.7802
## 344 asymmetric 229.7802
## 345 asymmetric 229.7802
## 346 asymmetric 229.7802
## 347 asymmetric 229.7802
## 348 asymmetric 229.7802
## 349 asymmetric 229.7802
## 350 asymmetric 229.7802
## 351 asymmetric 229.7802
## 352 asymmetric 229.7802
## 353 asymmetric 229.7802
## 354 asymmetric 229.7802
## 355 asymmetric 229.7802
## 356 asymmetric 229.7802
## 357 asymmetric 229.7802
## 358 asymmetric 229.7802
## 359 asymmetric 229.7802
## 360 asymmetric 229.7802
## 361 asymmetric 229.7802
## 362 asymmetric 229.7802
## 363 asymmetric 229.7802
## 364 asymmetric 229.7802
## 365 asymmetric 229.7802
## 366 asymmetric 229.7802
## 367 asymmetric 229.7802
## 368 asymmetric 229.7802
## 369 asymmetric 229.7802
## 370 asymmetric 229.7802
## 371 asymmetric 229.7802
## 372 asymmetric 229.7802
## 373 asymmetric 229.7802
## 374 asymmetric 229.7802
## 375 asymmetric 229.7802
## 376 asymmetric 229.7802
## 377 asymmetric 229.7802
## 378 asymmetric 229.7802
## 379 asymmetric 229.7802
## 380 asymmetric 229.7802
## 381 asymmetric 229.7802
## 382 asymmetric 229.7802
## 383 asymmetric 229.7802
## 384 asymmetric 229.7802
## 385 asymmetric 184.4961
## 386 asymmetric 184.4961
## 387 asymmetric 184.4961
## 388 asymmetric 184.4961
## 389 asymmetric 184.4961
## 390 asymmetric 184.4961
## 391 asymmetric 184.4961
## 392 asymmetric 184.4961
## 393 asymmetric 184.4961
## 394 asymmetric 184.4961
## 395 asymmetric 184.4961
## 396 asymmetric 184.4961
## 397 asymmetric 184.4961
## 398 asymmetric 184.4961
## 399 asymmetric 184.4961
## 400 asymmetric 184.4961
## 401 asymmetric 184.4961
## 402 asymmetric 184.4961
## 403 asymmetric 184.4961
## 404 asymmetric 184.4961
## 405 asymmetric 184.4961
## 406 asymmetric 184.4961
## 407 asymmetric 184.4961
## 408 asymmetric 184.4961
## 409 asymmetric 184.4961
## 410 asymmetric 184.4961
## 411 asymmetric 184.4961
## 412 asymmetric 184.4961
## 413 asymmetric 184.4961
## 414 asymmetric 184.4961
## 415 asymmetric 184.4961
## 416 asymmetric 184.4961
## 417 asymmetric 184.4961
## 418 asymmetric 184.4961
## 419 asymmetric 184.4961
## 420 asymmetric 184.4961
## 421 asymmetric 184.4961
## 422 asymmetric 184.4961
## 423 asymmetric 184.4961
## 424 asymmetric 184.4961
## 425 asymmetric 184.4961
## 426 asymmetric 184.4961
## 427 asymmetric 184.4961
## 428 asymmetric 184.4961
## 429 asymmetric 184.4961
## 430 asymmetric 184.4961
## 431 asymmetric 184.4961
## 432 asymmetric 184.4961
## 433 asymmetric 184.4961
## 434 asymmetric 184.4961
## 435 asymmetric 184.4961
## 436 asymmetric 184.4961
## 437 asymmetric 184.4961
## 438 asymmetric 184.4961
## 439 asymmetric 184.4961
## 440 asymmetric 184.4961
## 441 asymmetric 184.4961
## 442 asymmetric 184.4961
## 443 asymmetric 184.4961
## 444 asymmetric 184.4961
## 445 asymmetric 184.4961
## 446 asymmetric 184.4961
## 447 asymmetric 184.4961
## 448 asymmetric 184.4961
## 449 asymmetric 184.4961
## 450 asymmetric 184.4961
## 451 asymmetric 184.4961
## 452 asymmetric 184.4961
## 453 asymmetric 184.4961
## 454 asymmetric 184.4961
## 455 asymmetric 184.4961
## 456 asymmetric 184.4961
## 457 asymmetric 184.4961
## 458 asymmetric 184.4961
## 459 asymmetric 184.4961
## 460 asymmetric 184.4961
## 461 asymmetric 184.4961
## 462 asymmetric 184.4961
## 463 asymmetric 184.4961
## 464 asymmetric 184.4961
## 465 asymmetric 184.4961
## 466 asymmetric 184.4961
## 467 asymmetric 184.4961
## 468 asymmetric 184.4961
## 469 asymmetric 184.4961
## 470 asymmetric 184.4961
## 471 asymmetric 184.4961
## 472 asymmetric 184.4961
## 473 asymmetric 184.4961
## 474 asymmetric 184.4961
## 475 asymmetric 184.4961
## 476 asymmetric 184.4961
## 477 asymmetric 184.4961
## 478 asymmetric 184.4961
## 479 asymmetric 184.4961
## 480 asymmetric 184.4961
## 481 asymmetric 184.4961
## 482 asymmetric 184.4961
## 483 asymmetric 184.4961
## 484 asymmetric 184.4961
## 485 asymmetric 184.4961
## 486 asymmetric 184.4961
## 487 asymmetric 184.4961
## 488 asymmetric 184.4961
## 489 asymmetric 184.4961
## 490 asymmetric 184.4961
## 491 asymmetric 184.4961
## 492 asymmetric 184.4961
## 493 asymmetric 184.4961
## 494 asymmetric 184.4961
## 495 asymmetric 184.4961
## 496 asymmetric 184.4961
## 497 asymmetric 184.4961
## 498 asymmetric 184.4961
## 499 asymmetric 184.4961
## 500 asymmetric 184.4961
## 501 asymmetric 184.4961
## 502 asymmetric 184.4961
## 503 asymmetric 184.4961
## 504 asymmetric 184.4961
## 505 asymmetric 184.4961
## 506 asymmetric 184.4961
## 507 asymmetric 184.4961
## 508 asymmetric 184.4961
## 509 asymmetric 184.4961
## 510 asymmetric 184.4961
## 511 asymmetric 184.4961
## 512 asymmetric 184.4961
## 513 asymmetric 184.4961
## 514 asymmetric 184.4961
## 515 asymmetric 184.4961
## 516 asymmetric 184.4961
## 517 asymmetric 184.4961
## 518 asymmetric 184.4961
## 519 asymmetric 184.4961
## 520 asymmetric 184.4961
## 521 asymmetric 184.4961
## 522 asymmetric 184.4961
## 523 asymmetric 184.4961
## 524 asymmetric 184.4961
## 525 asymmetric 184.4961
## 526 asymmetric 184.4961
## 527 asymmetric 184.4961
## 528 asymmetric 184.4961
## 529 asymmetric 184.4961
## 530 asymmetric 184.4961
## 531 asymmetric 184.4961
## 532 asymmetric 184.4961
## 533 asymmetric 184.4961
## 534 asymmetric 184.4961
## 535 asymmetric 184.4961
## 536 asymmetric 184.4961
## 537 asymmetric 184.4961
## 538 asymmetric 184.4961
## 539 asymmetric 184.4961
## 540 asymmetric 184.4961
## 541 asymmetric 184.4961
## 542 asymmetric 184.4961
## 543 asymmetric 184.4961
## 544 asymmetric 184.4961
## 545 asymmetric 184.4961
## 546 asymmetric 184.4961
## 547 asymmetric 184.4961
## 548 asymmetric 184.4961
## 549 asymmetric 184.4961
## 550 asymmetric 184.4961
## 551 asymmetric 184.4961
## 552 asymmetric 184.4961
## 553 asymmetric 184.4961
## 554 asymmetric 184.4961
## 555 asymmetric 184.4961
## 556 asymmetric 184.4961
## 557 asymmetric 184.4961
## 558 asymmetric 184.4961
## 559 asymmetric 184.4961
## 560 asymmetric 184.4961
## 561 asymmetric 184.4961
## 562 asymmetric 184.4961
## 563 asymmetric 184.4961
## 564 asymmetric 184.4961
## 565 asymmetric 184.4961
## 566 asymmetric 184.4961
## 567 asymmetric 184.4961
## 568 asymmetric 184.4961
## 569 asymmetric 184.4961
## 570 asymmetric 184.4961
## 571 asymmetric 184.4961
## 572 asymmetric 184.4961
## 573 asymmetric 184.4961
## 574 asymmetric 184.4961
## 575 asymmetric 184.4961
## 576 asymmetric 184.4961
## 577 asymmetric 115.9153
## 578 asymmetric 115.9153
## 579 asymmetric 115.9153
## 580 asymmetric 115.9153
## 581 asymmetric 115.9153
## 582 asymmetric 115.9153
## 583 asymmetric 115.9153
## 584 asymmetric 115.9153
## 585 asymmetric 115.9153
## 586 asymmetric 115.9153
## 587 asymmetric 115.9153
## 588 asymmetric 115.9153
## 589 asymmetric 115.9153
## 590 asymmetric 115.9153
## 591 asymmetric 115.9153
## 592 asymmetric 115.9153
## 593 asymmetric 115.9153
## 594 asymmetric 115.9153
## 595 asymmetric 115.9153
## 596 asymmetric 115.9153
## 597 asymmetric 115.9153
## 598 asymmetric 115.9153
## 599 asymmetric 115.9153
## 600 asymmetric 115.9153
## 601 asymmetric 115.9153
## 602 asymmetric 115.9153
## 603 asymmetric 115.9153
## 604 asymmetric 115.9153
## 605 asymmetric 115.9153
## 606 asymmetric 115.9153
## 607 asymmetric 115.9153
## 608 asymmetric 115.9153
## 609 asymmetric 115.9153
## 610 asymmetric 115.9153
## 611 asymmetric 115.9153
## 612 asymmetric 115.9153
## 613 asymmetric 115.9153
## 614 asymmetric 115.9153
## 615 asymmetric 115.9153
## 616 asymmetric 115.9153
## 617 asymmetric 115.9153
## 618 asymmetric 115.9153
## 619 asymmetric 115.9153
## 620 asymmetric 115.9153
## 621 asymmetric 115.9153
## 622 asymmetric 115.9153
## 623 asymmetric 115.9153
## 624 asymmetric 115.9153
## 625 asymmetric 115.9153
## 626 asymmetric 115.9153
## 627 asymmetric 115.9153
## 628 asymmetric 115.9153
## 629 asymmetric 115.9153
## 630 asymmetric 115.9153
## 631 asymmetric 115.9153
## 632 asymmetric 115.9153
## 633 asymmetric 115.9153
## 634 asymmetric 115.9153
## 635 asymmetric 115.9153
## 636 asymmetric 115.9153
## 637 asymmetric 115.9153
## 638 asymmetric 115.9153
## 639 asymmetric 115.9153
## 640 asymmetric 115.9153
## 641 asymmetric 115.9153
## 642 asymmetric 115.9153
## 643 asymmetric 115.9153
## 644 asymmetric 115.9153
## 645 asymmetric 115.9153
## 646 asymmetric 115.9153
## 647 asymmetric 115.9153
## 648 asymmetric 115.9153
## 649 asymmetric 115.9153
## 650 asymmetric 115.9153
## 651 asymmetric 115.9153
## 652 asymmetric 115.9153
## 653 asymmetric 115.9153
## 654 asymmetric 115.9153
## 655 asymmetric 115.9153
## 656 asymmetric 115.9153
## 657 asymmetric 115.9153
## 658 asymmetric 115.9153
## 659 asymmetric 115.9153
## 660 asymmetric 115.9153
## 661 asymmetric 115.9153
## 662 asymmetric 115.9153
## 663 asymmetric 115.9153
## 664 asymmetric 115.9153
## 665 asymmetric 115.9153
## 666 asymmetric 115.9153
## 667 asymmetric 115.9153
## 668 asymmetric 115.9153
## 669 asymmetric 115.9153
## 670 asymmetric 115.9153
## 671 asymmetric 115.9153
## 672 asymmetric 115.9153
## 673 asymmetric 115.9153
## 674 asymmetric 115.9153
## 675 asymmetric 115.9153
## 676 asymmetric 115.9153
## 677 asymmetric 115.9153
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## 1500 asymmetric 178.8893
## 1501 asymmetric 178.8893
## 1502 asymmetric 178.8893
## 1503 asymmetric 178.8893
## 1504 asymmetric 178.8893
## 1505 asymmetric 178.8893
## 1506 asymmetric 178.8893
## 1507 asymmetric 178.8893
## 1508 asymmetric 178.8893
## 1509 asymmetric 178.8893
## 1510 asymmetric 178.8893
## 1511 asymmetric 178.8893
## 1512 asymmetric 178.8893
## 1513 asymmetric 178.8893
## 1514 asymmetric 178.8893
## 1515 asymmetric 178.8893
## 1516 asymmetric 178.8893
## 1517 asymmetric 178.8893
## 1518 asymmetric 178.8893
## 1519 asymmetric 178.8893
## 1520 asymmetric 178.8893
## 1521 asymmetric 178.8893
## 1522 asymmetric 178.8893
## 1523 asymmetric 178.8893
## 1524 asymmetric 178.8893
## 1525 asymmetric 178.8893
## 1526 asymmetric 178.8893
## 1527 asymmetric 178.8893
## 1528 asymmetric 178.8893
## 1529 asymmetric 178.8893
## 1530 asymmetric 178.8893
## 1531 asymmetric 178.8893
## 1532 asymmetric 178.8893
## 1533 asymmetric 178.8893
## 1534 asymmetric 178.8893
## 1535 asymmetric 178.8893
## 1536 asymmetric 178.8893
## 1537 asymmetric 110.3085
## 1538 asymmetric 110.3085
## 1539 asymmetric 110.3085
## 1540 asymmetric 110.3085
## 1541 asymmetric 110.3085
## 1542 asymmetric 110.3085
## 1543 asymmetric 110.3085
## 1544 asymmetric 110.3085
## 1545 asymmetric 110.3085
## 1546 asymmetric 110.3085
## 1547 asymmetric 110.3085
## 1548 asymmetric 110.3085
## 1549 asymmetric 110.3085
## 1550 asymmetric 110.3085
## 1551 asymmetric 110.3085
## 1552 asymmetric 110.3085
## 1553 asymmetric 110.3085
## 1554 asymmetric 110.3085
## 1555 asymmetric 110.3085
## 1556 asymmetric 110.3085
## 1557 asymmetric 110.3085
## 1558 asymmetric 110.3085
## 1559 asymmetric 110.3085
## 1560 asymmetric 110.3085
## 1561 asymmetric 110.3085
## 1562 asymmetric 110.3085
## 1563 asymmetric 110.3085
## 1564 asymmetric 110.3085
## 1565 asymmetric 110.3085
## 1566 asymmetric 110.3085
## 1567 asymmetric 110.3085
## 1568 asymmetric 110.3085
## 1569 asymmetric 110.3085
## 1570 asymmetric 110.3085
## 1571 asymmetric 110.3085
## 1572 asymmetric 110.3085
## 1573 asymmetric 110.3085
## 1574 asymmetric 110.3085
## 1575 asymmetric 110.3085
## 1576 asymmetric 110.3085
## 1577 asymmetric 110.3085
## 1578 asymmetric 110.3085
## 1579 asymmetric 110.3085
## 1580 asymmetric 110.3085
## 1581 asymmetric 110.3085
## 1582 asymmetric 110.3085
## 1583 asymmetric 110.3085
## 1584 asymmetric 110.3085
## 1585 asymmetric 110.3085
## 1586 asymmetric 110.3085
## 1587 asymmetric 110.3085
## 1588 asymmetric 110.3085
## 1589 asymmetric 110.3085
## 1590 asymmetric 110.3085
## 1591 asymmetric 110.3085
## 1592 asymmetric 110.3085
## 1593 asymmetric 110.3085
## 1594 asymmetric 110.3085
## 1595 asymmetric 110.3085
## 1596 asymmetric 110.3085
## 1597 asymmetric 110.3085
## 1598 asymmetric 110.3085
## 1599 asymmetric 110.3085
## 1600 asymmetric 110.3085
## 1601 asymmetric 110.3085
## 1602 asymmetric 110.3085
## 1603 asymmetric 110.3085
## 1604 asymmetric 110.3085
## 1605 asymmetric 110.3085
## 1606 asymmetric 110.3085
## 1607 asymmetric 110.3085
## 1608 asymmetric 110.3085
## 1609 asymmetric 110.3085
## 1610 asymmetric 110.3085
## 1611 asymmetric 110.3085
## 1612 asymmetric 110.3085
## 1613 asymmetric 110.3085
## 1614 asymmetric 110.3085
## 1615 asymmetric 110.3085
## 1616 asymmetric 110.3085
## 1617 asymmetric 110.3085
## 1618 asymmetric 110.3085
## 1619 asymmetric 110.3085
## 1620 asymmetric 110.3085
## 1621 asymmetric 110.3085
## 1622 asymmetric 110.3085
## 1623 asymmetric 110.3085
## 1624 asymmetric 110.3085
## 1625 asymmetric 110.3085
## 1626 asymmetric 110.3085
## 1627 asymmetric 110.3085
## 1628 asymmetric 110.3085
## 1629 asymmetric 110.3085
## 1630 asymmetric 110.3085
## 1631 asymmetric 110.3085
## 1632 asymmetric 110.3085
## 1633 asymmetric 110.3085
## 1634 asymmetric 110.3085
## 1635 asymmetric 110.3085
## 1636 asymmetric 110.3085
## 1637 asymmetric 110.3085
## 1638 asymmetric 110.3085
## 1639 asymmetric 110.3085
## 1640 asymmetric 110.3085
## 1641 asymmetric 110.3085
## 1642 asymmetric 110.3085
## 1643 asymmetric 110.3085
## 1644 asymmetric 110.3085
## 1645 asymmetric 110.3085
## 1646 asymmetric 110.3085
## 1647 asymmetric 110.3085
## 1648 asymmetric 110.3085
## 1649 asymmetric 110.3085
## 1650 asymmetric 110.3085
## 1651 asymmetric 110.3085
## 1652 asymmetric 110.3085
## 1653 asymmetric 110.3085
## 1654 asymmetric 110.3085
## 1655 asymmetric 110.3085
## 1656 asymmetric 110.3085
## 1657 asymmetric 110.3085
## 1658 asymmetric 110.3085
## 1659 asymmetric 110.3085
## 1660 asymmetric 110.3085
## 1661 asymmetric 110.3085
## 1662 asymmetric 110.3085
## 1663 asymmetric 110.3085
## 1664 asymmetric 110.3085
## 1665 asymmetric 110.3085
## 1666 asymmetric 110.3085
## 1667 asymmetric 110.3085
## 1668 asymmetric 110.3085
## 1669 asymmetric 110.3085
## 1670 asymmetric 110.3085
## 1671 asymmetric 110.3085
## 1672 asymmetric 110.3085
## 1673 asymmetric 110.3085
## 1674 asymmetric 110.3085
## 1675 asymmetric 110.3085
## 1676 asymmetric 110.3085
## 1677 asymmetric 110.3085
## 1678 asymmetric 110.3085
## 1679 asymmetric 110.3085
## 1680 asymmetric 110.3085
## 1681 asymmetric 110.3085
## 1682 asymmetric 110.3085
## 1683 asymmetric 110.3085
## 1684 asymmetric 110.3085
## 1685 asymmetric 110.3085
## 1686 asymmetric 110.3085
## 1687 asymmetric 110.3085
## 1688 asymmetric 110.3085
## 1689 asymmetric 110.3085
## 1690 asymmetric 110.3085
## 1691 asymmetric 110.3085
## 1692 asymmetric 110.3085
## 1693 asymmetric 110.3085
## 1694 asymmetric 110.3085
## 1695 asymmetric 110.3085
## 1696 asymmetric 110.3085
## 1697 asymmetric 110.3085
## 1698 asymmetric 110.3085
## 1699 asymmetric 110.3085
## 1700 asymmetric 110.3085
## 1701 asymmetric 110.3085
## 1702 asymmetric 110.3085
## 1703 asymmetric 110.3085
## 1704 asymmetric 110.3085
## 1705 asymmetric 110.3085
## 1706 asymmetric 110.3085
## 1707 asymmetric 110.3085
## 1708 asymmetric 110.3085
## 1709 asymmetric 110.3085
## 1710 asymmetric 110.3085
## 1711 asymmetric 110.3085
## 1712 asymmetric 110.3085
## 1713 asymmetric 110.3085
## 1714 asymmetric 110.3085
## 1715 asymmetric 110.3085
## 1716 asymmetric 110.3085
## 1717 asymmetric 110.3085
## 1718 asymmetric 110.3085
## 1719 asymmetric 110.3085
## 1720 asymmetric 110.3085
## 1721 asymmetric 110.3085
## 1722 asymmetric 110.3085
## 1723 asymmetric 110.3085
## 1724 asymmetric 110.3085
## 1725 asymmetric 110.3085
## 1726 asymmetric 110.3085
## 1727 asymmetric 110.3085
## 1728 asymmetric 110.3085
## 1729 asymmetric 115.0404
## 1730 asymmetric 115.0404
## 1731 asymmetric 115.0404
## 1732 asymmetric 115.0404
## 1733 asymmetric 115.0404
## 1734 asymmetric 115.0404
## 1735 asymmetric 115.0404
## 1736 asymmetric 115.0404
## 1737 asymmetric 115.0404
## 1738 asymmetric 115.0404
## 1739 asymmetric 115.0404
## 1740 asymmetric 115.0404
## 1741 asymmetric 115.0404
## 1742 asymmetric 115.0404
## 1743 asymmetric 115.0404
## 1744 asymmetric 115.0404
## 1745 asymmetric 115.0404
## 1746 asymmetric 115.0404
## 1747 asymmetric 115.0404
## 1748 asymmetric 115.0404
## 1749 asymmetric 115.0404
## 1750 asymmetric 115.0404
## 1751 asymmetric 115.0404
## 1752 asymmetric 115.0404
## 1753 asymmetric 115.0404
## 1754 asymmetric 115.0404
## 1755 asymmetric 115.0404
## 1756 asymmetric 115.0404
## 1757 asymmetric 115.0404
## 1758 asymmetric 115.0404
## 1759 asymmetric 115.0404
## 1760 asymmetric 115.0404
## 1761 asymmetric 115.0404
## 1762 asymmetric 115.0404
## 1763 asymmetric 115.0404
## 1764 asymmetric 115.0404
## 1765 asymmetric 115.0404
## 1766 asymmetric 115.0404
## 1767 asymmetric 115.0404
## 1768 asymmetric 115.0404
## 1769 asymmetric 115.0404
## 1770 asymmetric 115.0404
## 1771 asymmetric 115.0404
## 1772 asymmetric 115.0404
## 1773 asymmetric 115.0404
## 1774 asymmetric 115.0404
## 1775 asymmetric 115.0404
## 1776 asymmetric 115.0404
## 1777 asymmetric 115.0404
## 1778 asymmetric 115.0404
## 1779 asymmetric 115.0404
## 1780 asymmetric 115.0404
## 1781 asymmetric 115.0404
## 1782 asymmetric 115.0404
## 1783 asymmetric 115.0404
## 1784 asymmetric 115.0404
## 1785 asymmetric 115.0404
## 1786 asymmetric 115.0404
## 1787 asymmetric 115.0404
## 1788 asymmetric 115.0404
## 1789 asymmetric 115.0404
## 1790 asymmetric 115.0404
## 1791 asymmetric 115.0404
## 1792 asymmetric 115.0404
## 1793 asymmetric 115.0404
## 1794 asymmetric 115.0404
## 1795 asymmetric 115.0404
## 1796 asymmetric 115.0404
## 1797 asymmetric 115.0404
## 1798 asymmetric 115.0404
## 1799 asymmetric 115.0404
## 1800 asymmetric 115.0404
## 1801 asymmetric 115.0404
## 1802 asymmetric 115.0404
## 1803 asymmetric 115.0404
## 1804 asymmetric 115.0404
## 1805 asymmetric 115.0404
## 1806 asymmetric 115.0404
## 1807 asymmetric 115.0404
## 1808 asymmetric 115.0404
## 1809 asymmetric 115.0404
## 1810 asymmetric 115.0404
## 1811 asymmetric 115.0404
## 1812 asymmetric 115.0404
## 1813 asymmetric 115.0404
## 1814 asymmetric 115.0404
## 1815 asymmetric 115.0404
## 1816 asymmetric 115.0404
## 1817 asymmetric 115.0404
## 1818 asymmetric 115.0404
## 1819 asymmetric 115.0404
## 1820 asymmetric 115.0404
## 1821 asymmetric 115.0404
## 1822 asymmetric 115.0404
## 1823 asymmetric 115.0404
## 1824 asymmetric 115.0404
## 1825 asymmetric 115.0404
## 1826 asymmetric 115.0404
## 1827 asymmetric 115.0404
## 1828 asymmetric 115.0404
## 1829 asymmetric 115.0404
## 1830 asymmetric 115.0404
## 1831 asymmetric 115.0404
## 1832 asymmetric 115.0404
## 1833 asymmetric 115.0404
## 1834 asymmetric 115.0404
## 1835 asymmetric 115.0404
## 1836 asymmetric 115.0404
## 1837 asymmetric 115.0404
## 1838 asymmetric 115.0404
## 1839 asymmetric 115.0404
## 1840 asymmetric 115.0404
## 1841 asymmetric 115.0404
## 1842 asymmetric 115.0404
## 1843 asymmetric 115.0404
## 1844 asymmetric 115.0404
## 1845 asymmetric 115.0404
## 1846 asymmetric 115.0404
## 1847 asymmetric 115.0404
## 1848 asymmetric 115.0404
## 1849 asymmetric 115.0404
## 1850 asymmetric 115.0404
## 1851 asymmetric 115.0404
## 1852 asymmetric 115.0404
## 1853 asymmetric 115.0404
## 1854 asymmetric 115.0404
## 1855 asymmetric 115.0404
## 1856 asymmetric 115.0404
## 1857 asymmetric 115.0404
## 1858 asymmetric 115.0404
## 1859 asymmetric 115.0404
## 1860 asymmetric 115.0404
## 1861 asymmetric 115.0404
## 1862 asymmetric 115.0404
## 1863 asymmetric 115.0404
## 1864 asymmetric 115.0404
## 1865 asymmetric 115.0404
## 1866 asymmetric 115.0404
## 1867 asymmetric 115.0404
## 1868 asymmetric 115.0404
## 1869 asymmetric 115.0404
## 1870 asymmetric 115.0404
## 1871 asymmetric 115.0404
## 1872 asymmetric 115.0404
## 1873 asymmetric 115.0404
## 1874 asymmetric 115.0404
## 1875 asymmetric 115.0404
## 1876 asymmetric 115.0404
## 1877 asymmetric 115.0404
## 1878 asymmetric 115.0404
## 1879 asymmetric 115.0404
## 1880 asymmetric 115.0404
## 1881 asymmetric 115.0404
## 1882 asymmetric 115.0404
## 1883 asymmetric 115.0404
## 1884 asymmetric 115.0404
## 1885 asymmetric 115.0404
## 1886 asymmetric 115.0404
## 1887 asymmetric 115.0404
## 1888 asymmetric 115.0404
## 1889 asymmetric 115.0404
## 1890 asymmetric 115.0404
## 1891 asymmetric 115.0404
## 1892 asymmetric 115.0404
## 1893 asymmetric 115.0404
## 1894 asymmetric 115.0404
## 1895 asymmetric 115.0404
## 1896 asymmetric 115.0404
## 1897 asymmetric 115.0404
## 1898 asymmetric 115.0404
## 1899 asymmetric 115.0404
## 1900 asymmetric 115.0404
## 1901 asymmetric 115.0404
## 1902 asymmetric 115.0404
## 1903 asymmetric 115.0404
## 1904 asymmetric 115.0404
## 1905 asymmetric 115.0404
## 1906 asymmetric 115.0404
## 1907 asymmetric 115.0404
## 1908 asymmetric 115.0404
## 1909 asymmetric 115.0404
## 1910 asymmetric 115.0404
## 1911 asymmetric 115.0404
## 1912 asymmetric 115.0404
## 1913 asymmetric 115.0404
## 1914 asymmetric 115.0404
## 1915 asymmetric 115.0404
## 1916 asymmetric 115.0404
## 1917 asymmetric 115.0404
## 1918 asymmetric 115.0404
## 1919 asymmetric 115.0404
## 1920 asymmetric 115.0404
## 1921 asymmetric 151.3969
## 1922 asymmetric 151.3969
## 1923 asymmetric 151.3969
## 1924 asymmetric 151.3969
## 1925 asymmetric 151.3969
## 1926 asymmetric 151.3969
## 1927 asymmetric 151.3969
## 1928 asymmetric 151.3969
## 1929 asymmetric 151.3969
## 1930 asymmetric 151.3969
## 1931 asymmetric 151.3969
## 1932 asymmetric 151.3969
## 1933 asymmetric 151.3969
## 1934 asymmetric 151.3969
## 1935 asymmetric 151.3969
## 1936 asymmetric 151.3969
## 1937 asymmetric 151.3969
## 1938 asymmetric 151.3969
## 1939 asymmetric 151.3969
## 1940 asymmetric 151.3969
## 1941 asymmetric 151.3969
## 1942 asymmetric 151.3969
## 1943 asymmetric 151.3969
## 1944 asymmetric 151.3969
## 1945 asymmetric 151.3969
## 1946 asymmetric 151.3969
## 1947 asymmetric 151.3969
## 1948 asymmetric 151.3969
## 1949 asymmetric 151.3969
## 1950 asymmetric 151.3969
## 1951 asymmetric 151.3969
## 1952 asymmetric 151.3969
## 1953 asymmetric 151.3969
## 1954 asymmetric 151.3969
## 1955 asymmetric 151.3969
## 1956 asymmetric 151.3969
## 1957 asymmetric 151.3969
## 1958 asymmetric 151.3969
## 1959 asymmetric 151.3969
## 1960 asymmetric 151.3969
## 1961 asymmetric 151.3969
## 1962 asymmetric 151.3969
## 1963 asymmetric 151.3969
## 1964 asymmetric 151.3969
## 1965 asymmetric 151.3969
## 1966 asymmetric 151.3969
## 1967 asymmetric 151.3969
## 1968 asymmetric 151.3969
## 1969 asymmetric 151.3969
## 1970 asymmetric 151.3969
## 1971 asymmetric 151.3969
## 1972 asymmetric 151.3969
## 1973 asymmetric 151.3969
## 1974 asymmetric 151.3969
## 1975 asymmetric 151.3969
## 1976 asymmetric 151.3969
## 1977 asymmetric 151.3969
## 1978 asymmetric 151.3969
## 1979 asymmetric 151.3969
## 1980 asymmetric 151.3969
## 1981 asymmetric 151.3969
## 1982 asymmetric 151.3969
## 1983 asymmetric 151.3969
## 1984 asymmetric 151.3969
## 1985 asymmetric 151.3969
## 1986 asymmetric 151.3969
## 1987 asymmetric 151.3969
## 1988 asymmetric 151.3969
## 1989 asymmetric 151.3969
## 1990 asymmetric 151.3969
## 1991 asymmetric 151.3969
## 1992 asymmetric 151.3969
## 1993 asymmetric 151.3969
## 1994 asymmetric 151.3969
## 1995 asymmetric 151.3969
## 1996 asymmetric 151.3969
## 1997 asymmetric 151.3969
## 1998 asymmetric 151.3969
## 1999 asymmetric 151.3969
## 2000 asymmetric 151.3969
## 2001 asymmetric 151.3969
## 2002 asymmetric 151.3969
## 2003 asymmetric 151.3969
## 2004 asymmetric 151.3969
## 2005 asymmetric 151.3969
## 2006 asymmetric 151.3969
## 2007 asymmetric 151.3969
## 2008 asymmetric 151.3969
## 2009 asymmetric 151.3969
## 2010 asymmetric 151.3969
## 2011 asymmetric 151.3969
## 2012 asymmetric 151.3969
## 2013 asymmetric 151.3969
## 2014 asymmetric 151.3969
## 2015 asymmetric 151.3969
## 2016 asymmetric 151.3969
## 2017 asymmetric 151.3969
## 2018 asymmetric 151.3969
## 2019 asymmetric 151.3969
## 2020 asymmetric 151.3969
## 2021 asymmetric 151.3969
## 2022 asymmetric 151.3969
## 2023 asymmetric 151.3969
## 2024 asymmetric 151.3969
## 2025 asymmetric 151.3969
## 2026 asymmetric 151.3969
## 2027 asymmetric 151.3969
## 2028 asymmetric 151.3969
## 2029 asymmetric 151.3969
## 2030 asymmetric 151.3969
## 2031 asymmetric 151.3969
## 2032 asymmetric 151.3969
## 2033 asymmetric 151.3969
## 2034 asymmetric 151.3969
## 2035 asymmetric 151.3969
## 2036 asymmetric 151.3969
## 2037 asymmetric 151.3969
## 2038 asymmetric 151.3969
## 2039 asymmetric 151.3969
## 2040 asymmetric 151.3969
## 2041 asymmetric 151.3969
## 2042 asymmetric 151.3969
## 2043 asymmetric 151.3969
## 2044 asymmetric 151.3969
## 2045 asymmetric 151.3969
## 2046 asymmetric 151.3969
## 2047 asymmetric 151.3969
## 2048 asymmetric 151.3969
## 2049 asymmetric 151.3969
## 2050 asymmetric 151.3969
## 2051 asymmetric 151.3969
## 2052 asymmetric 151.3969
## 2053 asymmetric 151.3969
## 2054 asymmetric 151.3969
## 2055 asymmetric 151.3969
## 2056 asymmetric 151.3969
## 2057 asymmetric 151.3969
## 2058 asymmetric 151.3969
## 2059 asymmetric 151.3969
## 2060 asymmetric 151.3969
## 2061 asymmetric 151.3969
## 2062 asymmetric 151.3969
## 2063 asymmetric 151.3969
## 2064 asymmetric 151.3969
## 2065 asymmetric 151.3969
## 2066 asymmetric 151.3969
## 2067 asymmetric 151.3969
## 2068 asymmetric 151.3969
## 2069 asymmetric 151.3969
## 2070 asymmetric 151.3969
## 2071 asymmetric 151.3969
## 2072 asymmetric 151.3969
## 2073 asymmetric 151.3969
## 2074 asymmetric 151.3969
## 2075 asymmetric 151.3969
## 2076 asymmetric 151.3969
## 2077 asymmetric 151.3969
## 2078 asymmetric 151.3969
## 2079 asymmetric 151.3969
## 2080 asymmetric 151.3969
## 2081 asymmetric 151.3969
## 2082 asymmetric 151.3969
## 2083 asymmetric 151.3969
## 2084 asymmetric 151.3969
## 2085 asymmetric 151.3969
## 2086 asymmetric 151.3969
## 2087 asymmetric 151.3969
## 2088 asymmetric 151.3969
## 2089 asymmetric 151.3969
## 2090 asymmetric 151.3969
## 2091 asymmetric 151.3969
## 2092 asymmetric 151.3969
## 2093 asymmetric 151.3969
## 2094 asymmetric 151.3969
## 2095 asymmetric 151.3969
## 2096 asymmetric 151.3969
## 2097 asymmetric 151.3969
## 2098 asymmetric 151.3969
## 2099 asymmetric 151.3969
## 2100 asymmetric 151.3969
## 2101 asymmetric 151.3969
## 2102 asymmetric 151.3969
## 2103 asymmetric 151.3969
## 2104 asymmetric 151.3969
## 2105 asymmetric 151.3969
## 2106 asymmetric 151.3969
## 2107 asymmetric 151.3969
## 2108 asymmetric 151.3969
## 2109 asymmetric 151.3969
## 2110 asymmetric 151.3969
## 2111 asymmetric 151.3969
## 2112 asymmetric 151.3969
## 2113 asymmetric 228.2688
## 2114 asymmetric 228.2688
## 2115 asymmetric 228.2688
## 2116 asymmetric 228.2688
## 2117 asymmetric 228.2688
## 2118 asymmetric 228.2688
## 2119 asymmetric 228.2688
## 2120 asymmetric 228.2688
## 2121 asymmetric 228.2688
## 2122 asymmetric 228.2688
## 2123 asymmetric 228.2688
## 2124 asymmetric 228.2688
## 2125 asymmetric 228.2688
## 2126 asymmetric 228.2688
## 2127 asymmetric 228.2688
## 2128 asymmetric 228.2688
## 2129 asymmetric 228.2688
## 2130 asymmetric 228.2688
## 2131 asymmetric 228.2688
## 2132 asymmetric 228.2688
## 2133 asymmetric 228.2688
## 2134 asymmetric 228.2688
## 2135 asymmetric 228.2688
## 2136 asymmetric 228.2688
## 2137 asymmetric 228.2688
## 2138 asymmetric 228.2688
## 2139 asymmetric 228.2688
## 2140 asymmetric 228.2688
## 2141 asymmetric 228.2688
## 2142 asymmetric 228.2688
## 2143 asymmetric 228.2688
## 2144 asymmetric 228.2688
## 2145 asymmetric 228.2688
## 2146 asymmetric 228.2688
## 2147 asymmetric 228.2688
## 2148 asymmetric 228.2688
## 2149 asymmetric 228.2688
## 2150 asymmetric 228.2688
## 2151 asymmetric 228.2688
## 2152 asymmetric 228.2688
## 2153 asymmetric 228.2688
## 2154 asymmetric 228.2688
## 2155 asymmetric 228.2688
## 2156 asymmetric 228.2688
## 2157 asymmetric 228.2688
## 2158 asymmetric 228.2688
## 2159 asymmetric 228.2688
## 2160 asymmetric 228.2688
## 2161 asymmetric 228.2688
## 2162 asymmetric 228.2688
## 2163 asymmetric 228.2688
## 2164 asymmetric 228.2688
## 2165 asymmetric 228.2688
## 2166 asymmetric 228.2688
## 2167 asymmetric 228.2688
## 2168 asymmetric 228.2688
## 2169 asymmetric 228.2688
## 2170 asymmetric 228.2688
## 2171 asymmetric 228.2688
## 2172 asymmetric 228.2688
## 2173 asymmetric 228.2688
## 2174 asymmetric 228.2688
## 2175 asymmetric 228.2688
## 2176 asymmetric 228.2688
## 2177 asymmetric 228.2688
## 2178 asymmetric 228.2688
## 2179 asymmetric 228.2688
## 2180 asymmetric 228.2688
## 2181 asymmetric 228.2688
## 2182 asymmetric 228.2688
## 2183 asymmetric 228.2688
## 2184 asymmetric 228.2688
## 2185 asymmetric 228.2688
## 2186 asymmetric 228.2688
## 2187 asymmetric 228.2688
## 2188 asymmetric 228.2688
## 2189 asymmetric 228.2688
## 2190 asymmetric 228.2688
## 2191 asymmetric 228.2688
## 2192 asymmetric 228.2688
## 2193 asymmetric 228.2688
## 2194 asymmetric 228.2688
## 2195 asymmetric 228.2688
## 2196 asymmetric 228.2688
## 2197 asymmetric 228.2688
## 2198 asymmetric 228.2688
## 2199 asymmetric 228.2688
## 2200 asymmetric 228.2688
## 2201 asymmetric 228.2688
## 2202 asymmetric 228.2688
## 2203 asymmetric 228.2688
## 2204 asymmetric 228.2688
## 2205 asymmetric 228.2688
## 2206 asymmetric 228.2688
## 2207 asymmetric 228.2688
## 2208 asymmetric 228.2688
## 2209 asymmetric 228.2688
## 2210 asymmetric 228.2688
## 2211 asymmetric 228.2688
## 2212 asymmetric 228.2688
## 2213 asymmetric 228.2688
## 2214 asymmetric 228.2688
## 2215 asymmetric 228.2688
## 2216 asymmetric 228.2688
## 2217 asymmetric 228.2688
## 2218 asymmetric 228.2688
## 2219 asymmetric 228.2688
## 2220 asymmetric 228.2688
## 2221 asymmetric 228.2688
## 2222 asymmetric 228.2688
## 2223 asymmetric 228.2688
## 2224 asymmetric 228.2688
## 2225 asymmetric 228.2688
## 2226 asymmetric 228.2688
## 2227 asymmetric 228.2688
## 2228 asymmetric 228.2688
## 2229 asymmetric 228.2688
## 2230 asymmetric 228.2688
## 2231 asymmetric 228.2688
## 2232 asymmetric 228.2688
## 2233 asymmetric 228.2688
## 2234 asymmetric 228.2688
## 2235 asymmetric 228.2688
## 2236 asymmetric 228.2688
## 2237 asymmetric 228.2688
## 2238 asymmetric 228.2688
## 2239 asymmetric 228.2688
## 2240 asymmetric 228.2688
## 2241 asymmetric 228.2688
## 2242 asymmetric 228.2688
## 2243 asymmetric 228.2688
## 2244 asymmetric 228.2688
## 2245 asymmetric 228.2688
## 2246 asymmetric 228.2688
## 2247 asymmetric 228.2688
## 2248 asymmetric 228.2688
## 2249 asymmetric 228.2688
## 2250 asymmetric 228.2688
## 2251 asymmetric 228.2688
## 2252 asymmetric 228.2688
## 2253 asymmetric 228.2688
## 2254 asymmetric 228.2688
## 2255 asymmetric 228.2688
## 2256 asymmetric 228.2688
## 2257 asymmetric 228.2688
## 2258 asymmetric 228.2688
## 2259 asymmetric 228.2688
## 2260 asymmetric 228.2688
## 2261 asymmetric 228.2688
## 2262 asymmetric 228.2688
## 2263 asymmetric 228.2688
## 2264 asymmetric 228.2688
## 2265 asymmetric 228.2688
## 2266 asymmetric 228.2688
## 2267 asymmetric 228.2688
## 2268 asymmetric 228.2688
## 2269 asymmetric 228.2688
## 2270 asymmetric 228.2688
## 2271 asymmetric 228.2688
## 2272 asymmetric 228.2688
## 2273 asymmetric 228.2688
## 2274 asymmetric 228.2688
## 2275 asymmetric 228.2688
## 2276 asymmetric 228.2688
## 2277 asymmetric 228.2688
## 2278 asymmetric 228.2688
## 2279 asymmetric 228.2688
## 2280 asymmetric 228.2688
## 2281 asymmetric 228.2688
## 2282 asymmetric 228.2688
## 2283 asymmetric 228.2688
## 2284 asymmetric 228.2688
## 2285 asymmetric 228.2688
## 2286 asymmetric 228.2688
## 2287 asymmetric 228.2688
## 2288 asymmetric 228.2688
## 2289 asymmetric 228.2688
## 2290 asymmetric 228.2688
## 2291 asymmetric 228.2688
## 2292 asymmetric 228.2688
## 2293 asymmetric 228.2688
## 2294 asymmetric 228.2688
## 2295 asymmetric 228.2688
## 2296 asymmetric 228.2688
## 2297 asymmetric 228.2688
## 2298 asymmetric 228.2688
## 2299 asymmetric 228.2688
## 2300 asymmetric 228.2688
## 2301 asymmetric 228.2688
## 2302 asymmetric 228.2688
## 2303 asymmetric 228.2688
## 2304 asymmetric 228.2688
## 2305 asymmetric 182.9847
## 2306 asymmetric 182.9847
## 2307 asymmetric 182.9847
## 2308 asymmetric 182.9847
## 2309 asymmetric 182.9847
## 2310 asymmetric 182.9847
## 2311 asymmetric 182.9847
## 2312 asymmetric 182.9847
## 2313 asymmetric 182.9847
## 2314 asymmetric 182.9847
## 2315 asymmetric 182.9847
## 2316 asymmetric 182.9847
## 2317 asymmetric 182.9847
## 2318 asymmetric 182.9847
## 2319 asymmetric 182.9847
## 2320 asymmetric 182.9847
## 2321 asymmetric 182.9847
## 2322 asymmetric 182.9847
## 2323 asymmetric 182.9847
## 2324 asymmetric 182.9847
## 2325 asymmetric 182.9847
## 2326 asymmetric 182.9847
## 2327 asymmetric 182.9847
## 2328 asymmetric 182.9847
## 2329 asymmetric 182.9847
## 2330 asymmetric 182.9847
## 2331 asymmetric 182.9847
## 2332 asymmetric 182.9847
## 2333 asymmetric 182.9847
## 2334 asymmetric 182.9847
## 2335 asymmetric 182.9847
## 2336 asymmetric 182.9847
## 2337 asymmetric 182.9847
## 2338 asymmetric 182.9847
## 2339 asymmetric 182.9847
## 2340 asymmetric 182.9847
## 2341 asymmetric 182.9847
## 2342 asymmetric 182.9847
## 2343 asymmetric 182.9847
## 2344 asymmetric 182.9847
## 2345 asymmetric 182.9847
## 2346 asymmetric 182.9847
## 2347 asymmetric 182.9847
## 2348 asymmetric 182.9847
## 2349 asymmetric 182.9847
## 2350 asymmetric 182.9847
## 2351 asymmetric 182.9847
## 2352 asymmetric 182.9847
## 2353 asymmetric 182.9847
## 2354 asymmetric 182.9847
## 2355 asymmetric 182.9847
## 2356 asymmetric 182.9847
## 2357 asymmetric 182.9847
## 2358 asymmetric 182.9847
## 2359 asymmetric 182.9847
## 2360 asymmetric 182.9847
## 2361 asymmetric 182.9847
## 2362 asymmetric 182.9847
## 2363 asymmetric 182.9847
## 2364 asymmetric 182.9847
## 2365 asymmetric 182.9847
## 2366 asymmetric 182.9847
## 2367 asymmetric 182.9847
## 2368 asymmetric 182.9847
## 2369 asymmetric 182.9847
## 2370 asymmetric 182.9847
## 2371 asymmetric 182.9847
## 2372 asymmetric 182.9847
## 2373 asymmetric 182.9847
## 2374 asymmetric 182.9847
## 2375 asymmetric 182.9847
## 2376 asymmetric 182.9847
## 2377 asymmetric 182.9847
## 2378 asymmetric 182.9847
## 2379 asymmetric 182.9847
## 2380 asymmetric 182.9847
## 2381 asymmetric 182.9847
## 2382 asymmetric 182.9847
## 2383 asymmetric 182.9847
## 2384 asymmetric 182.9847
## 2385 asymmetric 182.9847
## 2386 asymmetric 182.9847
## 2387 asymmetric 182.9847
## 2388 asymmetric 182.9847
## 2389 asymmetric 182.9847
## 2390 asymmetric 182.9847
## 2391 asymmetric 182.9847
## 2392 asymmetric 182.9847
## 2393 asymmetric 182.9847
## 2394 asymmetric 182.9847
## 2395 asymmetric 182.9847
## 2396 asymmetric 182.9847
## 2397 asymmetric 182.9847
## 2398 asymmetric 182.9847
## 2399 asymmetric 182.9847
## 2400 asymmetric 182.9847
## 2401 asymmetric 182.9847
## 2402 asymmetric 182.9847
## 2403 asymmetric 182.9847
## 2404 asymmetric 182.9847
## 2405 asymmetric 182.9847
## 2406 asymmetric 182.9847
## 2407 asymmetric 182.9847
## 2408 asymmetric 182.9847
## 2409 asymmetric 182.9847
## 2410 asymmetric 182.9847
## 2411 asymmetric 182.9847
## 2412 asymmetric 182.9847
## 2413 asymmetric 182.9847
## 2414 asymmetric 182.9847
## 2415 asymmetric 182.9847
## 2416 asymmetric 182.9847
## 2417 asymmetric 182.9847
## 2418 asymmetric 182.9847
## 2419 asymmetric 182.9847
## 2420 asymmetric 182.9847
## 2421 asymmetric 182.9847
## 2422 asymmetric 182.9847
## 2423 asymmetric 182.9847
## 2424 asymmetric 182.9847
## 2425 asymmetric 182.9847
## 2426 asymmetric 182.9847
## 2427 asymmetric 182.9847
## 2428 asymmetric 182.9847
## 2429 asymmetric 182.9847
## 2430 asymmetric 182.9847
## 2431 asymmetric 182.9847
## 2432 asymmetric 182.9847
## 2433 asymmetric 182.9847
## 2434 asymmetric 182.9847
## 2435 asymmetric 182.9847
## 2436 asymmetric 182.9847
## 2437 asymmetric 182.9847
## 2438 asymmetric 182.9847
## 2439 asymmetric 182.9847
## 2440 asymmetric 182.9847
## 2441 asymmetric 182.9847
## 2442 asymmetric 182.9847
## 2443 asymmetric 182.9847
## 2444 asymmetric 182.9847
## 2445 asymmetric 182.9847
## 2446 asymmetric 182.9847
## 2447 asymmetric 182.9847
## 2448 asymmetric 182.9847
## 2449 asymmetric 182.9847
## 2450 asymmetric 182.9847
## 2451 asymmetric 182.9847
## 2452 asymmetric 182.9847
## 2453 asymmetric 182.9847
## 2454 asymmetric 182.9847
## 2455 asymmetric 182.9847
## 2456 asymmetric 182.9847
## 2457 asymmetric 182.9847
## 2458 asymmetric 182.9847
## 2459 asymmetric 182.9847
## 2460 asymmetric 182.9847
## 2461 asymmetric 182.9847
## 2462 asymmetric 182.9847
## 2463 asymmetric 182.9847
## 2464 asymmetric 182.9847
## 2465 asymmetric 182.9847
## 2466 asymmetric 182.9847
## 2467 asymmetric 182.9847
## 2468 asymmetric 182.9847
## 2469 asymmetric 182.9847
## 2470 asymmetric 182.9847
## 2471 asymmetric 182.9847
## 2472 asymmetric 182.9847
## 2473 asymmetric 182.9847
## 2474 asymmetric 182.9847
## 2475 asymmetric 182.9847
## 2476 asymmetric 182.9847
## 2477 asymmetric 182.9847
## 2478 asymmetric 182.9847
## 2479 asymmetric 182.9847
## 2480 asymmetric 182.9847
## 2481 asymmetric 182.9847
## 2482 asymmetric 182.9847
## 2483 asymmetric 182.9847
## 2484 asymmetric 182.9847
## 2485 asymmetric 182.9847
## 2486 asymmetric 182.9847
## 2487 asymmetric 182.9847
## 2488 asymmetric 182.9847
## 2489 asymmetric 182.9847
## 2490 asymmetric 182.9847
## 2491 asymmetric 182.9847
## 2492 asymmetric 182.9847
## 2493 asymmetric 182.9847
## 2494 asymmetric 182.9847
## 2495 asymmetric 182.9847
## 2496 asymmetric 182.9847
## 2497 asymmetric 114.4039
## 2498 asymmetric 114.4039
## 2499 asymmetric 114.4039
## 2500 asymmetric 114.4039
## 2501 asymmetric 114.4039
## 2502 asymmetric 114.4039
## 2503 asymmetric 114.4039
## 2504 asymmetric 114.4039
## 2505 asymmetric 114.4039
## 2506 asymmetric 114.4039
## 2507 asymmetric 114.4039
## 2508 asymmetric 114.4039
## 2509 asymmetric 114.4039
## 2510 asymmetric 114.4039
## 2511 asymmetric 114.4039
## 2512 asymmetric 114.4039
## 2513 asymmetric 114.4039
## 2514 asymmetric 114.4039
## 2515 asymmetric 114.4039
## 2516 asymmetric 114.4039
## 2517 asymmetric 114.4039
## 2518 asymmetric 114.4039
## 2519 asymmetric 114.4039
## 2520 asymmetric 114.4039
## 2521 asymmetric 114.4039
## 2522 asymmetric 114.4039
## 2523 asymmetric 114.4039
## 2524 asymmetric 114.4039
## 2525 asymmetric 114.4039
## 2526 asymmetric 114.4039
## 2527 asymmetric 114.4039
## 2528 asymmetric 114.4039
## 2529 asymmetric 114.4039
## 2530 asymmetric 114.4039
## 2531 asymmetric 114.4039
## 2532 asymmetric 114.4039
## 2533 asymmetric 114.4039
## 2534 asymmetric 114.4039
## 2535 asymmetric 114.4039
## 2536 asymmetric 114.4039
## 2537 asymmetric 114.4039
## 2538 asymmetric 114.4039
## 2539 asymmetric 114.4039
## 2540 asymmetric 114.4039
## 2541 asymmetric 114.4039
## 2542 asymmetric 114.4039
## 2543 asymmetric 114.4039
## 2544 asymmetric 114.4039
## 2545 asymmetric 114.4039
## 2546 asymmetric 114.4039
## 2547 asymmetric 114.4039
## 2548 asymmetric 114.4039
## 2549 asymmetric 114.4039
## 2550 asymmetric 114.4039
## 2551 asymmetric 114.4039
## 2552 asymmetric 114.4039
## 2553 asymmetric 114.4039
## 2554 asymmetric 114.4039
## 2555 asymmetric 114.4039
## 2556 asymmetric 114.4039
## 2557 asymmetric 114.4039
## 2558 asymmetric 114.4039
## 2559 asymmetric 114.4039
## 2560 asymmetric 114.4039
## 2561 asymmetric 114.4039
## 2562 asymmetric 114.4039
## 2563 asymmetric 114.4039
## 2564 asymmetric 114.4039
## 2565 asymmetric 114.4039
## 2566 asymmetric 114.4039
## 2567 asymmetric 114.4039
## 2568 asymmetric 114.4039
## 2569 asymmetric 114.4039
## 2570 asymmetric 114.4039
## 2571 asymmetric 114.4039
## 2572 asymmetric 114.4039
## 2573 asymmetric 114.4039
## 2574 asymmetric 114.4039
## 2575 asymmetric 114.4039
## 2576 asymmetric 114.4039
## 2577 asymmetric 114.4039
## 2578 asymmetric 114.4039
## 2579 asymmetric 114.4039
## 2580 asymmetric 114.4039
## 2581 asymmetric 114.4039
## 2582 asymmetric 114.4039
## 2583 asymmetric 114.4039
## 2584 asymmetric 114.4039
## 2585 asymmetric 114.4039
## 2586 asymmetric 114.4039
## 2587 asymmetric 114.4039
## 2588 asymmetric 114.4039
## 2589 asymmetric 114.4039
## 2590 asymmetric 114.4039
## 2591 asymmetric 114.4039
## 2592 asymmetric 114.4039
## 2593 asymmetric 114.4039
## 2594 asymmetric 114.4039
## 2595 asymmetric 114.4039
## 2596 asymmetric 114.4039
## 2597 asymmetric 114.4039
## 2598 asymmetric 114.4039
## 2599 asymmetric 114.4039
## 2600 asymmetric 114.4039
## 2601 asymmetric 114.4039
## 2602 asymmetric 114.4039
## 2603 asymmetric 114.4039
## 2604 asymmetric 114.4039
## 2605 asymmetric 114.4039
## 2606 asymmetric 114.4039
## 2607 asymmetric 114.4039
## 2608 asymmetric 114.4039
## 2609 asymmetric 114.4039
## 2610 asymmetric 114.4039
## 2611 asymmetric 114.4039
## 2612 asymmetric 114.4039
## 2613 asymmetric 114.4039
## 2614 asymmetric 114.4039
## 2615 asymmetric 114.4039
## 2616 asymmetric 114.4039
## 2617 asymmetric 114.4039
## 2618 asymmetric 114.4039
## 2619 asymmetric 114.4039
## 2620 asymmetric 114.4039
## 2621 asymmetric 114.4039
## 2622 asymmetric 114.4039
## 2623 asymmetric 114.4039
## 2624 asymmetric 114.4039
## 2625 asymmetric 114.4039
## 2626 asymmetric 114.4039
## 2627 asymmetric 114.4039
## 2628 asymmetric 114.4039
## 2629 asymmetric 114.4039
## 2630 asymmetric 114.4039
## 2631 asymmetric 114.4039
## baseline_jaccard_index baseline_bray_curtis baseline_beta_spatial_turnover
## 1 0.3797327 0.2343643 0.1428571
## 2 0.3797327 0.2343643 0.1428571
## 3 0.3797327 0.2343643 0.1428571
## 4 0.3797327 0.2343643 0.1428571
## 5 0.3797327 0.2343643 0.1428571
## 6 0.3797327 0.2343643 0.1428571
## 7 0.3797327 0.2343643 0.1428571
## 8 0.3797327 0.2343643 0.1428571
## 9 0.3797327 0.2343643 0.1428571
## 10 0.3797327 0.2343643 0.1428571
## 11 0.3797327 0.2343643 0.1428571
## 12 0.3797327 0.2343643 0.1428571
## 13 0.3797327 0.2343643 0.1428571
## 14 0.3797327 0.2343643 0.1428571
## 15 0.3797327 0.2343643 0.1428571
## 16 0.3797327 0.2343643 0.1428571
## 17 0.3797327 0.2343643 0.1428571
## 18 0.3797327 0.2343643 0.1428571
## 19 0.3797327 0.2343643 0.1428571
## 20 0.3797327 0.2343643 0.1428571
## 21 0.3797327 0.2343643 0.1428571
## 22 0.3797327 0.2343643 0.1428571
## 23 0.3797327 0.2343643 0.1428571
## 24 0.3797327 0.2343643 0.1428571
## 25 0.3797327 0.2343643 0.1428571
## 26 0.3797327 0.2343643 0.1428571
## 27 0.3797327 0.2343643 0.1428571
## 28 0.3797327 0.2343643 0.1428571
## 29 0.3797327 0.2343643 0.1428571
## 30 0.3797327 0.2343643 0.1428571
## 31 0.3797327 0.2343643 0.1428571
## 32 0.3797327 0.2343643 0.1428571
## 33 0.3797327 0.2343643 0.1428571
## 34 0.3797327 0.2343643 0.1428571
## 35 0.3797327 0.2343643 0.1428571
## 36 0.3797327 0.2343643 0.1428571
## 37 0.3797327 0.2343643 0.1428571
## 38 0.3797327 0.2343643 0.1428571
## 39 0.3797327 0.2343643 0.1428571
## 40 0.3797327 0.2343643 0.1428571
## 41 0.3797327 0.2343643 0.1428571
## 42 0.3797327 0.2343643 0.1428571
## 43 0.3797327 0.2343643 0.1428571
## 44 0.3797327 0.2343643 0.1428571
## 45 0.3797327 0.2343643 0.1428571
## 46 0.3797327 0.2343643 0.1428571
## 47 0.3797327 0.2343643 0.1428571
## 48 0.3797327 0.2343643 0.1428571
## 49 0.3797327 0.2343643 0.1428571
## 50 0.3797327 0.2343643 0.1428571
## 51 0.3797327 0.2343643 0.1428571
## 52 0.3797327 0.2343643 0.1428571
## 53 0.3797327 0.2343643 0.1428571
## 54 0.3797327 0.2343643 0.1428571
## 55 0.3797327 0.2343643 0.1428571
## 56 0.3797327 0.2343643 0.1428571
## 57 0.3797327 0.2343643 0.1428571
## 58 0.3797327 0.2343643 0.1428571
## 59 0.3797327 0.2343643 0.1428571
## 60 0.3797327 0.2343643 0.1428571
## 61 0.3797327 0.2343643 0.1428571
## 62 0.3797327 0.2343643 0.1428571
## 63 0.3797327 0.2343643 0.1428571
## 64 0.3797327 0.2343643 0.1428571
## 65 0.3797327 0.2343643 0.1428571
## 66 0.3797327 0.2343643 0.1428571
## 67 0.3797327 0.2343643 0.1428571
## 68 0.3797327 0.2343643 0.1428571
## 69 0.3797327 0.2343643 0.1428571
## 70 0.3797327 0.2343643 0.1428571
## 71 0.3797327 0.2343643 0.1428571
## 72 0.3797327 0.2343643 0.1428571
## 73 0.3797327 0.2343643 0.1428571
## 74 0.3797327 0.2343643 0.1428571
## 75 0.3797327 0.2343643 0.1428571
## 76 0.3797327 0.2343643 0.1428571
## 77 0.3797327 0.2343643 0.1428571
## 78 0.3797327 0.2343643 0.1428571
## 79 0.3797327 0.2343643 0.1428571
## 80 0.3797327 0.2343643 0.1428571
## 81 0.3797327 0.2343643 0.1428571
## 82 0.3797327 0.2343643 0.1428571
## 83 0.3797327 0.2343643 0.1428571
## 84 0.3797327 0.2343643 0.1428571
## 85 0.3797327 0.2343643 0.1428571
## 86 0.3797327 0.2343643 0.1428571
## 87 0.3797327 0.2343643 0.1428571
## 88 0.3797327 0.2343643 0.1428571
## 89 0.3797327 0.2343643 0.1428571
## 90 0.3797327 0.2343643 0.1428571
## 91 0.3797327 0.2343643 0.1428571
## 92 0.3797327 0.2343643 0.1428571
## 93 0.3797327 0.2343643 0.1428571
## 94 0.3797327 0.2343643 0.1428571
## 95 0.3797327 0.2343643 0.1428571
## 96 0.3797327 0.2343643 0.1428571
## 97 0.3797327 0.2343643 0.1428571
## 98 0.3797327 0.2343643 0.1428571
## 99 0.3797327 0.2343643 0.1428571
## 100 0.3797327 0.2343643 0.1428571
## 101 0.3797327 0.2343643 0.1428571
## 102 0.3797327 0.2343643 0.1428571
## 103 0.3797327 0.2343643 0.1428571
## 104 0.3797327 0.2343643 0.1428571
## 105 0.3797327 0.2343643 0.1428571
## 106 0.3797327 0.2343643 0.1428571
## 107 0.3797327 0.2343643 0.1428571
## 108 0.3797327 0.2343643 0.1428571
## 109 0.3797327 0.2343643 0.1428571
## 110 0.3797327 0.2343643 0.1428571
## 111 0.3797327 0.2343643 0.1428571
## 112 0.3797327 0.2343643 0.1428571
## 113 0.3797327 0.2343643 0.1428571
## 114 0.3797327 0.2343643 0.1428571
## 115 0.3797327 0.2343643 0.1428571
## 116 0.3797327 0.2343643 0.1428571
## 117 0.3797327 0.2343643 0.1428571
## 118 0.3797327 0.2343643 0.1428571
## 119 0.3797327 0.2343643 0.1428571
## 120 0.3797327 0.2343643 0.1428571
## 121 0.3797327 0.2343643 0.1428571
## 122 0.3797327 0.2343643 0.1428571
## 123 0.3797327 0.2343643 0.1428571
## 124 0.3797327 0.2343643 0.1428571
## 125 0.3797327 0.2343643 0.1428571
## 126 0.3797327 0.2343643 0.1428571
## 127 0.3797327 0.2343643 0.1428571
## 128 0.3797327 0.2343643 0.1428571
## 129 0.3797327 0.2343643 0.1428571
## 130 0.3797327 0.2343643 0.1428571
## 131 0.3797327 0.2343643 0.1428571
## 132 0.3797327 0.2343643 0.1428571
## 133 0.3797327 0.2343643 0.1428571
## 134 0.3797327 0.2343643 0.1428571
## 135 0.3797327 0.2343643 0.1428571
## 136 0.3797327 0.2343643 0.1428571
## 137 0.3797327 0.2343643 0.1428571
## 138 0.3797327 0.2343643 0.1428571
## 139 0.3797327 0.2343643 0.1428571
## 140 0.3797327 0.2343643 0.1428571
## 141 0.3797327 0.2343643 0.1428571
## 142 0.3797327 0.2343643 0.1428571
## 143 0.3797327 0.2343643 0.1428571
## 144 0.3797327 0.2343643 0.1428571
## 145 0.3797327 0.2343643 0.1428571
## 146 0.3797327 0.2343643 0.1428571
## 147 0.3797327 0.2343643 0.1428571
## 148 0.3797327 0.2343643 0.1428571
## 149 0.3797327 0.2343643 0.1428571
## 150 0.3797327 0.2343643 0.1428571
## 151 0.3797327 0.2343643 0.1428571
## 152 0.3797327 0.2343643 0.1428571
## 153 0.3797327 0.2343643 0.1428571
## 154 0.3797327 0.2343643 0.1428571
## 155 0.3797327 0.2343643 0.1428571
## 156 0.3797327 0.2343643 0.1428571
## 157 0.3797327 0.2343643 0.1428571
## 158 0.3797327 0.2343643 0.1428571
## 159 0.3797327 0.2343643 0.1428571
## 160 0.3797327 0.2343643 0.1428571
## 161 0.3797327 0.2343643 0.1428571
## 162 0.3797327 0.2343643 0.1428571
## 163 0.3797327 0.2343643 0.1428571
## 164 0.3797327 0.2343643 0.1428571
## 165 0.3797327 0.2343643 0.1428571
## 166 0.3797327 0.2343643 0.1428571
## 167 0.3797327 0.2343643 0.1428571
## 168 0.3797327 0.2343643 0.1428571
## 169 0.3797327 0.2343643 0.1428571
## 170 0.3797327 0.2343643 0.1428571
## 171 0.3797327 0.2343643 0.1428571
## 172 0.3797327 0.2343643 0.1428571
## 173 0.3797327 0.2343643 0.1428571
## 174 0.3797327 0.2343643 0.1428571
## 175 0.3797327 0.2343643 0.1428571
## 176 0.3797327 0.2343643 0.1428571
## 177 0.3797327 0.2343643 0.1428571
## 178 0.3797327 0.2343643 0.1428571
## 179 0.3797327 0.2343643 0.1428571
## 180 0.3797327 0.2343643 0.1428571
## 181 0.3797327 0.2343643 0.1428571
## 182 0.3797327 0.2343643 0.1428571
## 183 0.3797327 0.2343643 0.1428571
## 184 0.3797327 0.2343643 0.1428571
## 185 0.3797327 0.2343643 0.1428571
## 186 0.3797327 0.2343643 0.1428571
## 187 0.3797327 0.2343643 0.1428571
## 188 0.3797327 0.2343643 0.1428571
## 189 0.3797327 0.2343643 0.1428571
## 190 0.3797327 0.2343643 0.1428571
## 191 0.3797327 0.2343643 0.1428571
## 192 0.3797327 0.2343643 0.1428571
## 193 0.5863882 0.4148156 0.0000000
## 194 0.5863882 0.4148156 0.0000000
## 195 0.5863882 0.4148156 0.0000000
## 196 0.5863882 0.4148156 0.0000000
## 197 0.5863882 0.4148156 0.0000000
## 198 0.5863882 0.4148156 0.0000000
## 199 0.5863882 0.4148156 0.0000000
## 200 0.5863882 0.4148156 0.0000000
## 201 0.5863882 0.4148156 0.0000000
## 202 0.5863882 0.4148156 0.0000000
## 203 0.5863882 0.4148156 0.0000000
## 204 0.5863882 0.4148156 0.0000000
## 205 0.5863882 0.4148156 0.0000000
## 206 0.5863882 0.4148156 0.0000000
## 207 0.5863882 0.4148156 0.0000000
## 208 0.5863882 0.4148156 0.0000000
## 209 0.5863882 0.4148156 0.0000000
## 210 0.5863882 0.4148156 0.0000000
## 211 0.5863882 0.4148156 0.0000000
## 212 0.5863882 0.4148156 0.0000000
## 213 0.5863882 0.4148156 0.0000000
## 214 0.5863882 0.4148156 0.0000000
## 215 0.5863882 0.4148156 0.0000000
## 216 0.5863882 0.4148156 0.0000000
## 217 0.5863882 0.4148156 0.0000000
## 218 0.5863882 0.4148156 0.0000000
## 219 0.5863882 0.4148156 0.0000000
## 220 0.5863882 0.4148156 0.0000000
## 221 0.5863882 0.4148156 0.0000000
## 222 0.5863882 0.4148156 0.0000000
## 223 0.5863882 0.4148156 0.0000000
## 224 0.5863882 0.4148156 0.0000000
## 225 0.5863882 0.4148156 0.0000000
## 226 0.5863882 0.4148156 0.0000000
## 227 0.5863882 0.4148156 0.0000000
## 228 0.5863882 0.4148156 0.0000000
## 229 0.5863882 0.4148156 0.0000000
## 230 0.5863882 0.4148156 0.0000000
## 231 0.5863882 0.4148156 0.0000000
## 232 0.5863882 0.4148156 0.0000000
## 233 0.5863882 0.4148156 0.0000000
## 234 0.5863882 0.4148156 0.0000000
## 235 0.5863882 0.4148156 0.0000000
## 236 0.5863882 0.4148156 0.0000000
## 237 0.5863882 0.4148156 0.0000000
## 238 0.5863882 0.4148156 0.0000000
## 239 0.5863882 0.4148156 0.0000000
## 240 0.5863882 0.4148156 0.0000000
## 241 0.5863882 0.4148156 0.0000000
## 242 0.5863882 0.4148156 0.0000000
## 243 0.5863882 0.4148156 0.0000000
## 244 0.5863882 0.4148156 0.0000000
## 245 0.5863882 0.4148156 0.0000000
## 246 0.5863882 0.4148156 0.0000000
## 247 0.5863882 0.4148156 0.0000000
## 248 0.5863882 0.4148156 0.0000000
## 249 0.5863882 0.4148156 0.0000000
## 250 0.5863882 0.4148156 0.0000000
## 251 0.5863882 0.4148156 0.0000000
## 252 0.5863882 0.4148156 0.0000000
## 253 0.5863882 0.4148156 0.0000000
## 254 0.5863882 0.4148156 0.0000000
## 255 0.5863882 0.4148156 0.0000000
## 256 0.5863882 0.4148156 0.0000000
## 257 0.5863882 0.4148156 0.0000000
## 258 0.5863882 0.4148156 0.0000000
## 259 0.5863882 0.4148156 0.0000000
## 260 0.5863882 0.4148156 0.0000000
## 261 0.5863882 0.4148156 0.0000000
## 262 0.5863882 0.4148156 0.0000000
## 263 0.5863882 0.4148156 0.0000000
## 264 0.5863882 0.4148156 0.0000000
## 265 0.5863882 0.4148156 0.0000000
## 266 0.5863882 0.4148156 0.0000000
## 267 0.5863882 0.4148156 0.0000000
## 268 0.5863882 0.4148156 0.0000000
## 269 0.5863882 0.4148156 0.0000000
## 270 0.5863882 0.4148156 0.0000000
## 271 0.5863882 0.4148156 0.0000000
## 272 0.5863882 0.4148156 0.0000000
## 273 0.5863882 0.4148156 0.0000000
## 274 0.5863882 0.4148156 0.0000000
## 275 0.5863882 0.4148156 0.0000000
## 276 0.5863882 0.4148156 0.0000000
## 277 0.5863882 0.4148156 0.0000000
## 278 0.5863882 0.4148156 0.0000000
## 279 0.5863882 0.4148156 0.0000000
## 280 0.5863882 0.4148156 0.0000000
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## 1163 0.4851643 0.3202752 0.1250000
## 1164 0.4851643 0.3202752 0.1250000
## 1165 0.4851643 0.3202752 0.1250000
## 1166 0.4851643 0.3202752 0.1250000
## 1167 0.4851643 0.3202752 0.1250000
## 1168 0.4851643 0.3202752 0.1250000
## 1169 0.4851643 0.3202752 0.1250000
## 1170 0.4851643 0.3202752 0.1250000
## 1171 0.4851643 0.3202752 0.1250000
## 1172 0.4851643 0.3202752 0.1250000
## 1173 0.4851643 0.3202752 0.1250000
## 1174 0.4851643 0.3202752 0.1250000
## 1175 0.4851643 0.3202752 0.1250000
## 1176 0.4851643 0.3202752 0.1250000
## 1177 0.4851643 0.3202752 0.1250000
## 1178 0.4851643 0.3202752 0.1250000
## 1179 0.4851643 0.3202752 0.1250000
## 1180 0.4851643 0.3202752 0.1250000
## 1181 0.4851643 0.3202752 0.1250000
## 1182 0.4851643 0.3202752 0.1250000
## 1183 0.4851643 0.3202752 0.1250000
## 1184 0.4851643 0.3202752 0.1250000
## 1185 0.4851643 0.3202752 0.1250000
## 1186 0.4851643 0.3202752 0.1250000
## 1187 0.4851643 0.3202752 0.1250000
## 1188 0.4851643 0.3202752 0.1250000
## 1189 0.4851643 0.3202752 0.1250000
## 1190 0.4851643 0.3202752 0.1250000
## 1191 0.4851643 0.3202752 0.1250000
## 1192 0.4851643 0.3202752 0.1250000
## 1193 0.4851643 0.3202752 0.1250000
## 1194 0.4851643 0.3202752 0.1250000
## 1195 0.4851643 0.3202752 0.1250000
## 1196 0.4851643 0.3202752 0.1250000
## 1197 0.4851643 0.3202752 0.1250000
## 1198 0.4851643 0.3202752 0.1250000
## 1199 0.4851643 0.3202752 0.1250000
## 1200 0.4851643 0.3202752 0.1250000
## 1201 0.4851643 0.3202752 0.1250000
## 1202 0.4851643 0.3202752 0.1250000
## 1203 0.4851643 0.3202752 0.1250000
## 1204 0.4851643 0.3202752 0.1250000
## 1205 0.4851643 0.3202752 0.1250000
## 1206 0.4851643 0.3202752 0.1250000
## 1207 0.4851643 0.3202752 0.1250000
## 1208 0.4851643 0.3202752 0.1250000
## 1209 0.4851643 0.3202752 0.1250000
## 1210 0.4851643 0.3202752 0.1250000
## 1211 0.4851643 0.3202752 0.1250000
## 1212 0.4851643 0.3202752 0.1250000
## 1213 0.4851643 0.3202752 0.1250000
## 1214 0.4851643 0.3202752 0.1250000
## 1215 0.4851643 0.3202752 0.1250000
## 1216 0.4851643 0.3202752 0.1250000
## 1217 0.4851643 0.3202752 0.1250000
## 1218 0.4851643 0.3202752 0.1250000
## 1219 0.4851643 0.3202752 0.1250000
## 1220 0.4851643 0.3202752 0.1250000
## 1221 0.4851643 0.3202752 0.1250000
## 1222 0.4851643 0.3202752 0.1250000
## 1223 0.4851643 0.3202752 0.1250000
## 1224 0.4851643 0.3202752 0.1250000
## 1225 0.4851643 0.3202752 0.1250000
## 1226 0.4851643 0.3202752 0.1250000
## 1227 0.4851643 0.3202752 0.1250000
## 1228 0.4851643 0.3202752 0.1250000
## 1229 0.4851643 0.3202752 0.1250000
## 1230 0.4851643 0.3202752 0.1250000
## 1231 0.4851643 0.3202752 0.1250000
## 1232 0.4851643 0.3202752 0.1250000
## 1233 0.4851643 0.3202752 0.1250000
## 1234 0.4851643 0.3202752 0.1250000
## 1235 0.4851643 0.3202752 0.1250000
## 1236 0.4851643 0.3202752 0.1250000
## 1237 0.4851643 0.3202752 0.1250000
## 1238 0.4851643 0.3202752 0.1250000
## 1239 0.4851643 0.3202752 0.1250000
## 1240 0.4851643 0.3202752 0.1250000
## 1241 0.4851643 0.3202752 0.1250000
## 1242 0.4851643 0.3202752 0.1250000
## 1243 0.4851643 0.3202752 0.1250000
## 1244 0.4851643 0.3202752 0.1250000
## 1245 0.4851643 0.3202752 0.1250000
## 1246 0.4851643 0.3202752 0.1250000
## 1247 0.4851643 0.3202752 0.1250000
## 1248 0.4851643 0.3202752 0.1250000
## 1249 0.4851643 0.3202752 0.1250000
## 1250 0.4851643 0.3202752 0.1250000
## 1251 0.4851643 0.3202752 0.1250000
## 1252 0.4851643 0.3202752 0.1250000
## 1253 0.4851643 0.3202752 0.1250000
## 1254 0.4851643 0.3202752 0.1250000
## 1255 0.4851643 0.3202752 0.1250000
## 1256 0.4851643 0.3202752 0.1250000
## 1257 0.4851643 0.3202752 0.1250000
## 1258 0.4851643 0.3202752 0.1250000
## 1259 0.4851643 0.3202752 0.1250000
## 1260 0.4851643 0.3202752 0.1250000
## 1261 0.4851643 0.3202752 0.1250000
## 1262 0.4851643 0.3202752 0.1250000
## 1263 0.4851643 0.3202752 0.1250000
## 1264 0.4851643 0.3202752 0.1250000
## 1265 0.4851643 0.3202752 0.1250000
## 1266 0.4851643 0.3202752 0.1250000
## 1267 0.4851643 0.3202752 0.1250000
## 1268 0.4851643 0.3202752 0.1250000
## 1269 0.4851643 0.3202752 0.1250000
## 1270 0.4851643 0.3202752 0.1250000
## 1271 0.4851643 0.3202752 0.1250000
## 1272 0.4851643 0.3202752 0.1250000
## 1273 0.4851643 0.3202752 0.1250000
## 1274 0.4851643 0.3202752 0.1250000
## 1275 0.4851643 0.3202752 0.1250000
## 1276 0.4851643 0.3202752 0.1250000
## 1277 0.4851643 0.3202752 0.1250000
## 1278 0.4851643 0.3202752 0.1250000
## 1279 0.4851643 0.3202752 0.1250000
## 1280 0.4851643 0.3202752 0.1250000
## 1281 0.4851643 0.3202752 0.1250000
## 1282 0.4851643 0.3202752 0.1250000
## 1283 0.4851643 0.3202752 0.1250000
## 1284 0.4851643 0.3202752 0.1250000
## 1285 0.4851643 0.3202752 0.1250000
## 1286 0.4851643 0.3202752 0.1250000
## 1287 0.4851643 0.3202752 0.1250000
## 1288 0.4851643 0.3202752 0.1250000
## 1289 0.4851643 0.3202752 0.1250000
## 1290 0.4851643 0.3202752 0.1250000
## 1291 0.4851643 0.3202752 0.1250000
## 1292 0.4851643 0.3202752 0.1250000
## 1293 0.4851643 0.3202752 0.1250000
## 1294 0.4851643 0.3202752 0.1250000
## 1295 0.4851643 0.3202752 0.1250000
## 1296 0.4851643 0.3202752 0.1250000
## 1297 0.4851643 0.3202752 0.1250000
## 1298 0.4851643 0.3202752 0.1250000
## 1299 0.4851643 0.3202752 0.1250000
## 1300 0.4851643 0.3202752 0.1250000
## 1301 0.4851643 0.3202752 0.1250000
## 1302 0.4851643 0.3202752 0.1250000
## 1303 0.4851643 0.3202752 0.1250000
## 1304 0.4851643 0.3202752 0.1250000
## 1305 0.4851643 0.3202752 0.1250000
## 1306 0.4851643 0.3202752 0.1250000
## 1307 0.4851643 0.3202752 0.1250000
## 1308 0.4851643 0.3202752 0.1250000
## 1309 0.4851643 0.3202752 0.1250000
## 1310 0.4851643 0.3202752 0.1250000
## 1311 0.4851643 0.3202752 0.1250000
## 1312 0.4851643 0.3202752 0.1250000
## 1313 0.4851643 0.3202752 0.1250000
## 1314 0.4851643 0.3202752 0.1250000
## 1315 0.4851643 0.3202752 0.1250000
## 1316 0.4851643 0.3202752 0.1250000
## 1317 0.4851643 0.3202752 0.1250000
## 1318 0.4851643 0.3202752 0.1250000
## 1319 0.4851643 0.3202752 0.1250000
## 1320 0.4851643 0.3202752 0.1250000
## 1321 0.4851643 0.3202752 0.1250000
## 1322 0.4851643 0.3202752 0.1250000
## 1323 0.4851643 0.3202752 0.1250000
## 1324 0.4851643 0.3202752 0.1250000
## 1325 0.4851643 0.3202752 0.1250000
## 1326 0.4851643 0.3202752 0.1250000
## 1327 0.4851643 0.3202752 0.1250000
## 1328 0.4851643 0.3202752 0.1250000
## 1329 0.4851643 0.3202752 0.1250000
## 1330 0.4851643 0.3202752 0.1250000
## 1331 0.4851643 0.3202752 0.1250000
## 1332 0.4851643 0.3202752 0.1250000
## 1333 0.4851643 0.3202752 0.1250000
## 1334 0.4851643 0.3202752 0.1250000
## 1335 0.4851643 0.3202752 0.1250000
## 1336 0.4851643 0.3202752 0.1250000
## 1337 0.4851643 0.3202752 0.1250000
## 1338 0.4851643 0.3202752 0.1250000
## 1339 0.4851643 0.3202752 0.1250000
## 1340 0.4851643 0.3202752 0.1250000
## 1341 0.4851643 0.3202752 0.1250000
## 1342 0.4851643 0.3202752 0.1250000
## 1343 0.4851643 0.3202752 0.1250000
## 1344 0.4851643 0.3202752 0.1250000
## 1345 0.5151939 0.3469772 0.1250000
## 1346 0.5151939 0.3469772 0.1250000
## 1347 0.5151939 0.3469772 0.1250000
## 1348 0.5151939 0.3469772 0.1250000
## 1349 0.5151939 0.3469772 0.1250000
## 1350 0.5151939 0.3469772 0.1250000
## 1351 0.5151939 0.3469772 0.1250000
## 1352 0.5151939 0.3469772 0.1250000
## 1353 0.5151939 0.3469772 0.1250000
## 1354 0.5151939 0.3469772 0.1250000
## 1355 0.5151939 0.3469772 0.1250000
## 1356 0.5151939 0.3469772 0.1250000
## 1357 0.5151939 0.3469772 0.1250000
## 1358 0.5151939 0.3469772 0.1250000
## 1359 0.5151939 0.3469772 0.1250000
## 1360 0.5151939 0.3469772 0.1250000
## 1361 0.5151939 0.3469772 0.1250000
## 1362 0.5151939 0.3469772 0.1250000
## 1363 0.5151939 0.3469772 0.1250000
## 1364 0.5151939 0.3469772 0.1250000
## 1365 0.5151939 0.3469772 0.1250000
## 1366 0.5151939 0.3469772 0.1250000
## 1367 0.5151939 0.3469772 0.1250000
## 1368 0.5151939 0.3469772 0.1250000
## 1369 0.5151939 0.3469772 0.1250000
## 1370 0.5151939 0.3469772 0.1250000
## 1371 0.5151939 0.3469772 0.1250000
## 1372 0.5151939 0.3469772 0.1250000
## 1373 0.5151939 0.3469772 0.1250000
## 1374 0.5151939 0.3469772 0.1250000
## 1375 0.5151939 0.3469772 0.1250000
## 1376 0.5151939 0.3469772 0.1250000
## 1377 0.5151939 0.3469772 0.1250000
## 1378 0.5151939 0.3469772 0.1250000
## 1379 0.5151939 0.3469772 0.1250000
## 1380 0.5151939 0.3469772 0.1250000
## 1381 0.5151939 0.3469772 0.1250000
## 1382 0.5151939 0.3469772 0.1250000
## 1383 0.5151939 0.3469772 0.1250000
## 1384 0.5151939 0.3469772 0.1250000
## 1385 0.5151939 0.3469772 0.1250000
## 1386 0.5151939 0.3469772 0.1250000
## 1387 0.5151939 0.3469772 0.1250000
## 1388 0.5151939 0.3469772 0.1250000
## 1389 0.5151939 0.3469772 0.1250000
## 1390 0.5151939 0.3469772 0.1250000
## 1391 0.5151939 0.3469772 0.1250000
## 1392 0.5151939 0.3469772 0.1250000
## 1393 0.5151939 0.3469772 0.1250000
## 1394 0.5151939 0.3469772 0.1250000
## 1395 0.5151939 0.3469772 0.1250000
## 1396 0.5151939 0.3469772 0.1250000
## 1397 0.5151939 0.3469772 0.1250000
## 1398 0.5151939 0.3469772 0.1250000
## 1399 0.5151939 0.3469772 0.1250000
## 1400 0.5151939 0.3469772 0.1250000
## 1401 0.5151939 0.3469772 0.1250000
## 1402 0.5151939 0.3469772 0.1250000
## 1403 0.5151939 0.3469772 0.1250000
## 1404 0.5151939 0.3469772 0.1250000
## 1405 0.5151939 0.3469772 0.1250000
## 1406 0.5151939 0.3469772 0.1250000
## 1407 0.5151939 0.3469772 0.1250000
## 1408 0.5151939 0.3469772 0.1250000
## 1409 0.5151939 0.3469772 0.1250000
## 1410 0.5151939 0.3469772 0.1250000
## 1411 0.5151939 0.3469772 0.1250000
## 1412 0.5151939 0.3469772 0.1250000
## 1413 0.5151939 0.3469772 0.1250000
## 1414 0.5151939 0.3469772 0.1250000
## 1415 0.5151939 0.3469772 0.1250000
## 1416 0.5151939 0.3469772 0.1250000
## 1417 0.5151939 0.3469772 0.1250000
## 1418 0.5151939 0.3469772 0.1250000
## 1419 0.5151939 0.3469772 0.1250000
## 1420 0.5151939 0.3469772 0.1250000
## 1421 0.5151939 0.3469772 0.1250000
## 1422 0.5151939 0.3469772 0.1250000
## 1423 0.5151939 0.3469772 0.1250000
## 1424 0.5151939 0.3469772 0.1250000
## 1425 0.5151939 0.3469772 0.1250000
## 1426 0.5151939 0.3469772 0.1250000
## 1427 0.5151939 0.3469772 0.1250000
## 1428 0.5151939 0.3469772 0.1250000
## 1429 0.5151939 0.3469772 0.1250000
## 1430 0.5151939 0.3469772 0.1250000
## 1431 0.5151939 0.3469772 0.1250000
## 1432 0.5151939 0.3469772 0.1250000
## 1433 0.5151939 0.3469772 0.1250000
## 1434 0.5151939 0.3469772 0.1250000
## 1435 0.5151939 0.3469772 0.1250000
## 1436 0.5151939 0.3469772 0.1250000
## 1437 0.5151939 0.3469772 0.1250000
## 1438 0.5151939 0.3469772 0.1250000
## 1439 0.5151939 0.3469772 0.1250000
## 1440 0.5151939 0.3469772 0.1250000
## 1441 0.5151939 0.3469772 0.1250000
## 1442 0.5151939 0.3469772 0.1250000
## 1443 0.5151939 0.3469772 0.1250000
## 1444 0.5151939 0.3469772 0.1250000
## 1445 0.5151939 0.3469772 0.1250000
## 1446 0.5151939 0.3469772 0.1250000
## 1447 0.5151939 0.3469772 0.1250000
## 1448 0.5151939 0.3469772 0.1250000
## 1449 0.5151939 0.3469772 0.1250000
## 1450 0.5151939 0.3469772 0.1250000
## 1451 0.5151939 0.3469772 0.1250000
## 1452 0.5151939 0.3469772 0.1250000
## 1453 0.5151939 0.3469772 0.1250000
## 1454 0.5151939 0.3469772 0.1250000
## 1455 0.5151939 0.3469772 0.1250000
## 1456 0.5151939 0.3469772 0.1250000
## 1457 0.5151939 0.3469772 0.1250000
## 1458 0.5151939 0.3469772 0.1250000
## 1459 0.5151939 0.3469772 0.1250000
## 1460 0.5151939 0.3469772 0.1250000
## 1461 0.5151939 0.3469772 0.1250000
## 1462 0.5151939 0.3469772 0.1250000
## 1463 0.5151939 0.3469772 0.1250000
## 1464 0.5151939 0.3469772 0.1250000
## 1465 0.5151939 0.3469772 0.1250000
## 1466 0.5151939 0.3469772 0.1250000
## 1467 0.5151939 0.3469772 0.1250000
## 1468 0.5151939 0.3469772 0.1250000
## 1469 0.5151939 0.3469772 0.1250000
## 1470 0.5151939 0.3469772 0.1250000
## 1471 0.5151939 0.3469772 0.1250000
## 1472 0.5151939 0.3469772 0.1250000
## 1473 0.5151939 0.3469772 0.1250000
## 1474 0.5151939 0.3469772 0.1250000
## 1475 0.5151939 0.3469772 0.1250000
## 1476 0.5151939 0.3469772 0.1250000
## 1477 0.5151939 0.3469772 0.1250000
## 1478 0.5151939 0.3469772 0.1250000
## 1479 0.5151939 0.3469772 0.1250000
## 1480 0.5151939 0.3469772 0.1250000
## 1481 0.5151939 0.3469772 0.1250000
## 1482 0.5151939 0.3469772 0.1250000
## 1483 0.5151939 0.3469772 0.1250000
## 1484 0.5151939 0.3469772 0.1250000
## 1485 0.5151939 0.3469772 0.1250000
## 1486 0.5151939 0.3469772 0.1250000
## 1487 0.5151939 0.3469772 0.1250000
## 1488 0.5151939 0.3469772 0.1250000
## 1489 0.5151939 0.3469772 0.1250000
## 1490 0.5151939 0.3469772 0.1250000
## 1491 0.5151939 0.3469772 0.1250000
## 1492 0.5151939 0.3469772 0.1250000
## 1493 0.5151939 0.3469772 0.1250000
## 1494 0.5151939 0.3469772 0.1250000
## 1495 0.5151939 0.3469772 0.1250000
## 1496 0.5151939 0.3469772 0.1250000
## 1497 0.5151939 0.3469772 0.1250000
## 1498 0.5151939 0.3469772 0.1250000
## 1499 0.5151939 0.3469772 0.1250000
## 1500 0.5151939 0.3469772 0.1250000
## 1501 0.5151939 0.3469772 0.1250000
## 1502 0.5151939 0.3469772 0.1250000
## 1503 0.5151939 0.3469772 0.1250000
## 1504 0.5151939 0.3469772 0.1250000
## 1505 0.5151939 0.3469772 0.1250000
## 1506 0.5151939 0.3469772 0.1250000
## 1507 0.5151939 0.3469772 0.1250000
## 1508 0.5151939 0.3469772 0.1250000
## 1509 0.5151939 0.3469772 0.1250000
## 1510 0.5151939 0.3469772 0.1250000
## 1511 0.5151939 0.3469772 0.1250000
## 1512 0.5151939 0.3469772 0.1250000
## 1513 0.5151939 0.3469772 0.1250000
## 1514 0.5151939 0.3469772 0.1250000
## 1515 0.5151939 0.3469772 0.1250000
## 1516 0.5151939 0.3469772 0.1250000
## 1517 0.5151939 0.3469772 0.1250000
## 1518 0.5151939 0.3469772 0.1250000
## 1519 0.5151939 0.3469772 0.1250000
## 1520 0.5151939 0.3469772 0.1250000
## 1521 0.5151939 0.3469772 0.1250000
## 1522 0.5151939 0.3469772 0.1250000
## 1523 0.5151939 0.3469772 0.1250000
## 1524 0.5151939 0.3469772 0.1250000
## 1525 0.5151939 0.3469772 0.1250000
## 1526 0.5151939 0.3469772 0.1250000
## 1527 0.5151939 0.3469772 0.1250000
## 1528 0.5151939 0.3469772 0.1250000
## 1529 0.5151939 0.3469772 0.1250000
## 1530 0.5151939 0.3469772 0.1250000
## 1531 0.5151939 0.3469772 0.1250000
## 1532 0.5151939 0.3469772 0.1250000
## 1533 0.5151939 0.3469772 0.1250000
## 1534 0.5151939 0.3469772 0.1250000
## 1535 0.5151939 0.3469772 0.1250000
## 1536 0.5151939 0.3469772 0.1250000
## 1537 0.3935303 0.2449659 0.1428571
## 1538 0.3935303 0.2449659 0.1428571
## 1539 0.3935303 0.2449659 0.1428571
## 1540 0.3935303 0.2449659 0.1428571
## 1541 0.3935303 0.2449659 0.1428571
## 1542 0.3935303 0.2449659 0.1428571
## 1543 0.3935303 0.2449659 0.1428571
## 1544 0.3935303 0.2449659 0.1428571
## 1545 0.3935303 0.2449659 0.1428571
## 1546 0.3935303 0.2449659 0.1428571
## 1547 0.3935303 0.2449659 0.1428571
## 1548 0.3935303 0.2449659 0.1428571
## 1549 0.3935303 0.2449659 0.1428571
## 1550 0.3935303 0.2449659 0.1428571
## 1551 0.3935303 0.2449659 0.1428571
## 1552 0.3935303 0.2449659 0.1428571
## 1553 0.3935303 0.2449659 0.1428571
## 1554 0.3935303 0.2449659 0.1428571
## 1555 0.3935303 0.2449659 0.1428571
## 1556 0.3935303 0.2449659 0.1428571
## 1557 0.3935303 0.2449659 0.1428571
## 1558 0.3935303 0.2449659 0.1428571
## 1559 0.3935303 0.2449659 0.1428571
## 1560 0.3935303 0.2449659 0.1428571
## 1561 0.3935303 0.2449659 0.1428571
## 1562 0.3935303 0.2449659 0.1428571
## 1563 0.3935303 0.2449659 0.1428571
## 1564 0.3935303 0.2449659 0.1428571
## 1565 0.3935303 0.2449659 0.1428571
## 1566 0.3935303 0.2449659 0.1428571
## 1567 0.3935303 0.2449659 0.1428571
## 1568 0.3935303 0.2449659 0.1428571
## 1569 0.3935303 0.2449659 0.1428571
## 1570 0.3935303 0.2449659 0.1428571
## 1571 0.3935303 0.2449659 0.1428571
## 1572 0.3935303 0.2449659 0.1428571
## 1573 0.3935303 0.2449659 0.1428571
## 1574 0.3935303 0.2449659 0.1428571
## 1575 0.3935303 0.2449659 0.1428571
## 1576 0.3935303 0.2449659 0.1428571
## 1577 0.3935303 0.2449659 0.1428571
## 1578 0.3935303 0.2449659 0.1428571
## 1579 0.3935303 0.2449659 0.1428571
## 1580 0.3935303 0.2449659 0.1428571
## 1581 0.3935303 0.2449659 0.1428571
## 1582 0.3935303 0.2449659 0.1428571
## 1583 0.3935303 0.2449659 0.1428571
## 1584 0.3935303 0.2449659 0.1428571
## 1585 0.3935303 0.2449659 0.1428571
## 1586 0.3935303 0.2449659 0.1428571
## 1587 0.3935303 0.2449659 0.1428571
## 1588 0.3935303 0.2449659 0.1428571
## 1589 0.3935303 0.2449659 0.1428571
## 1590 0.3935303 0.2449659 0.1428571
## 1591 0.3935303 0.2449659 0.1428571
## 1592 0.3935303 0.2449659 0.1428571
## 1593 0.3935303 0.2449659 0.1428571
## 1594 0.3935303 0.2449659 0.1428571
## 1595 0.3935303 0.2449659 0.1428571
## 1596 0.3935303 0.2449659 0.1428571
## 1597 0.3935303 0.2449659 0.1428571
## 1598 0.3935303 0.2449659 0.1428571
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## 1728 0.3935303 0.2449659 0.1428571
## 1729 0.5241108 0.3551153 0.0000000
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## 1889 0.5241108 0.3551153 0.0000000
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## 1915 0.5241108 0.3551153 0.0000000
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## 1917 0.5241108 0.3551153 0.0000000
## 1918 0.5241108 0.3551153 0.0000000
## 1919 0.5241108 0.3551153 0.0000000
## 1920 0.5241108 0.3551153 0.0000000
## 1921 0.4647482 0.3027179 0.0000000
## 1922 0.4647482 0.3027179 0.0000000
## 1923 0.4647482 0.3027179 0.0000000
## 1924 0.4647482 0.3027179 0.0000000
## 1925 0.4647482 0.3027179 0.0000000
## 1926 0.4647482 0.3027179 0.0000000
## 1927 0.4647482 0.3027179 0.0000000
## 1928 0.4647482 0.3027179 0.0000000
## 1929 0.4647482 0.3027179 0.0000000
## 1930 0.4647482 0.3027179 0.0000000
## 1931 0.4647482 0.3027179 0.0000000
## 1932 0.4647482 0.3027179 0.0000000
## 1933 0.4647482 0.3027179 0.0000000
## 1934 0.4647482 0.3027179 0.0000000
## 1935 0.4647482 0.3027179 0.0000000
## 1936 0.4647482 0.3027179 0.0000000
## 1937 0.4647482 0.3027179 0.0000000
## 1938 0.4647482 0.3027179 0.0000000
## 1939 0.4647482 0.3027179 0.0000000
## 1940 0.4647482 0.3027179 0.0000000
## 1941 0.4647482 0.3027179 0.0000000
## 1942 0.4647482 0.3027179 0.0000000
## 1943 0.4647482 0.3027179 0.0000000
## 1944 0.4647482 0.3027179 0.0000000
## 1945 0.4647482 0.3027179 0.0000000
## 1946 0.4647482 0.3027179 0.0000000
## 1947 0.4647482 0.3027179 0.0000000
## 1948 0.4647482 0.3027179 0.0000000
## 1949 0.4647482 0.3027179 0.0000000
## 1950 0.4647482 0.3027179 0.0000000
## 1951 0.4647482 0.3027179 0.0000000
## 1952 0.4647482 0.3027179 0.0000000
## 1953 0.4647482 0.3027179 0.0000000
## 1954 0.4647482 0.3027179 0.0000000
## 1955 0.4647482 0.3027179 0.0000000
## 1956 0.4647482 0.3027179 0.0000000
## 1957 0.4647482 0.3027179 0.0000000
## 1958 0.4647482 0.3027179 0.0000000
## 1959 0.4647482 0.3027179 0.0000000
## 1960 0.4647482 0.3027179 0.0000000
## 1961 0.4647482 0.3027179 0.0000000
## 1962 0.4647482 0.3027179 0.0000000
## 1963 0.4647482 0.3027179 0.0000000
## 1964 0.4647482 0.3027179 0.0000000
## 1965 0.4647482 0.3027179 0.0000000
## 1966 0.4647482 0.3027179 0.0000000
## 1967 0.4647482 0.3027179 0.0000000
## 1968 0.4647482 0.3027179 0.0000000
## 1969 0.4647482 0.3027179 0.0000000
## 1970 0.4647482 0.3027179 0.0000000
## 1971 0.4647482 0.3027179 0.0000000
## 1972 0.4647482 0.3027179 0.0000000
## 1973 0.4647482 0.3027179 0.0000000
## 1974 0.4647482 0.3027179 0.0000000
## 1975 0.4647482 0.3027179 0.0000000
## 1976 0.4647482 0.3027179 0.0000000
## 1977 0.4647482 0.3027179 0.0000000
## 1978 0.4647482 0.3027179 0.0000000
## 1979 0.4647482 0.3027179 0.0000000
## 1980 0.4647482 0.3027179 0.0000000
## 1981 0.4647482 0.3027179 0.0000000
## 1982 0.4647482 0.3027179 0.0000000
## 1983 0.4647482 0.3027179 0.0000000
## 1984 0.4647482 0.3027179 0.0000000
## 1985 0.4647482 0.3027179 0.0000000
## 1986 0.4647482 0.3027179 0.0000000
## 1987 0.4647482 0.3027179 0.0000000
## 1988 0.4647482 0.3027179 0.0000000
## 1989 0.4647482 0.3027179 0.0000000
## 1990 0.4647482 0.3027179 0.0000000
## 1991 0.4647482 0.3027179 0.0000000
## 1992 0.4647482 0.3027179 0.0000000
## 1993 0.4647482 0.3027179 0.0000000
## 1994 0.4647482 0.3027179 0.0000000
## 1995 0.4647482 0.3027179 0.0000000
## 1996 0.4647482 0.3027179 0.0000000
## 1997 0.4647482 0.3027179 0.0000000
## 1998 0.4647482 0.3027179 0.0000000
## 1999 0.4647482 0.3027179 0.0000000
## 2000 0.4647482 0.3027179 0.0000000
## 2001 0.4647482 0.3027179 0.0000000
## 2002 0.4647482 0.3027179 0.0000000
## 2003 0.4647482 0.3027179 0.0000000
## 2004 0.4647482 0.3027179 0.0000000
## 2005 0.4647482 0.3027179 0.0000000
## 2006 0.4647482 0.3027179 0.0000000
## 2007 0.4647482 0.3027179 0.0000000
## 2008 0.4647482 0.3027179 0.0000000
## 2009 0.4647482 0.3027179 0.0000000
## 2010 0.4647482 0.3027179 0.0000000
## 2011 0.4647482 0.3027179 0.0000000
## 2012 0.4647482 0.3027179 0.0000000
## 2013 0.4647482 0.3027179 0.0000000
## 2014 0.4647482 0.3027179 0.0000000
## 2015 0.4647482 0.3027179 0.0000000
## 2016 0.4647482 0.3027179 0.0000000
## 2017 0.4647482 0.3027179 0.0000000
## 2018 0.4647482 0.3027179 0.0000000
## 2019 0.4647482 0.3027179 0.0000000
## 2020 0.4647482 0.3027179 0.0000000
## 2021 0.4647482 0.3027179 0.0000000
## 2022 0.4647482 0.3027179 0.0000000
## 2023 0.4647482 0.3027179 0.0000000
## 2024 0.4647482 0.3027179 0.0000000
## 2025 0.4647482 0.3027179 0.0000000
## 2026 0.4647482 0.3027179 0.0000000
## 2027 0.4647482 0.3027179 0.0000000
## 2028 0.4647482 0.3027179 0.0000000
## 2029 0.4647482 0.3027179 0.0000000
## 2030 0.4647482 0.3027179 0.0000000
## 2031 0.4647482 0.3027179 0.0000000
## 2032 0.4647482 0.3027179 0.0000000
## 2033 0.4647482 0.3027179 0.0000000
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## 2043 0.4647482 0.3027179 0.0000000
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## 2458 0.3858672 0.2390555 0.1666667
## 2459 0.3858672 0.2390555 0.1666667
## 2460 0.3858672 0.2390555 0.1666667
## 2461 0.3858672 0.2390555 0.1666667
## 2462 0.3858672 0.2390555 0.1666667
## 2463 0.3858672 0.2390555 0.1666667
## 2464 0.3858672 0.2390555 0.1666667
## 2465 0.3858672 0.2390555 0.1666667
## 2466 0.3858672 0.2390555 0.1666667
## 2467 0.3858672 0.2390555 0.1666667
## 2468 0.3858672 0.2390555 0.1666667
## 2469 0.3858672 0.2390555 0.1666667
## 2470 0.3858672 0.2390555 0.1666667
## 2471 0.3858672 0.2390555 0.1666667
## 2472 0.3858672 0.2390555 0.1666667
## 2473 0.3858672 0.2390555 0.1666667
## 2474 0.3858672 0.2390555 0.1666667
## 2475 0.3858672 0.2390555 0.1666667
## 2476 0.3858672 0.2390555 0.1666667
## 2477 0.3858672 0.2390555 0.1666667
## 2478 0.3858672 0.2390555 0.1666667
## 2479 0.3858672 0.2390555 0.1666667
## 2480 0.3858672 0.2390555 0.1666667
## 2481 0.3858672 0.2390555 0.1666667
## 2482 0.3858672 0.2390555 0.1666667
## 2483 0.3858672 0.2390555 0.1666667
## 2484 0.3858672 0.2390555 0.1666667
## 2485 0.3858672 0.2390555 0.1666667
## 2486 0.3858672 0.2390555 0.1666667
## 2487 0.3858672 0.2390555 0.1666667
## 2488 0.3858672 0.2390555 0.1666667
## 2489 0.3858672 0.2390555 0.1666667
## 2490 0.3858672 0.2390555 0.1666667
## 2491 0.3858672 0.2390555 0.1666667
## 2492 0.3858672 0.2390555 0.1666667
## 2493 0.3858672 0.2390555 0.1666667
## 2494 0.3858672 0.2390555 0.1666667
## 2495 0.3858672 0.2390555 0.1666667
## 2496 0.3858672 0.2390555 0.1666667
## 2497 0.4258033 0.2704892 0.0000000
## 2498 0.4258033 0.2704892 0.0000000
## 2499 0.4258033 0.2704892 0.0000000
## 2500 0.4258033 0.2704892 0.0000000
## 2501 0.4258033 0.2704892 0.0000000
## 2502 0.4258033 0.2704892 0.0000000
## 2503 0.4258033 0.2704892 0.0000000
## 2504 0.4258033 0.2704892 0.0000000
## 2505 0.4258033 0.2704892 0.0000000
## 2506 0.4258033 0.2704892 0.0000000
## 2507 0.4258033 0.2704892 0.0000000
## 2508 0.4258033 0.2704892 0.0000000
## 2509 0.4258033 0.2704892 0.0000000
## 2510 0.4258033 0.2704892 0.0000000
## 2511 0.4258033 0.2704892 0.0000000
## 2512 0.4258033 0.2704892 0.0000000
## 2513 0.4258033 0.2704892 0.0000000
## 2514 0.4258033 0.2704892 0.0000000
## 2515 0.4258033 0.2704892 0.0000000
## 2516 0.4258033 0.2704892 0.0000000
## 2517 0.4258033 0.2704892 0.0000000
## 2518 0.4258033 0.2704892 0.0000000
## 2519 0.4258033 0.2704892 0.0000000
## 2520 0.4258033 0.2704892 0.0000000
## 2521 0.4258033 0.2704892 0.0000000
## 2522 0.4258033 0.2704892 0.0000000
## 2523 0.4258033 0.2704892 0.0000000
## 2524 0.4258033 0.2704892 0.0000000
## 2525 0.4258033 0.2704892 0.0000000
## 2526 0.4258033 0.2704892 0.0000000
## 2527 0.4258033 0.2704892 0.0000000
## 2528 0.4258033 0.2704892 0.0000000
## 2529 0.4258033 0.2704892 0.0000000
## 2530 0.4258033 0.2704892 0.0000000
## 2531 0.4258033 0.2704892 0.0000000
## 2532 0.4258033 0.2704892 0.0000000
## 2533 0.4258033 0.2704892 0.0000000
## 2534 0.4258033 0.2704892 0.0000000
## 2535 0.4258033 0.2704892 0.0000000
## 2536 0.4258033 0.2704892 0.0000000
## 2537 0.4258033 0.2704892 0.0000000
## 2538 0.4258033 0.2704892 0.0000000
## 2539 0.4258033 0.2704892 0.0000000
## 2540 0.4258033 0.2704892 0.0000000
## 2541 0.4258033 0.2704892 0.0000000
## 2542 0.4258033 0.2704892 0.0000000
## 2543 0.4258033 0.2704892 0.0000000
## 2544 0.4258033 0.2704892 0.0000000
## 2545 0.4258033 0.2704892 0.0000000
## 2546 0.4258033 0.2704892 0.0000000
## 2547 0.4258033 0.2704892 0.0000000
## 2548 0.4258033 0.2704892 0.0000000
## 2549 0.4258033 0.2704892 0.0000000
## 2550 0.4258033 0.2704892 0.0000000
## 2551 0.4258033 0.2704892 0.0000000
## 2552 0.4258033 0.2704892 0.0000000
## 2553 0.4258033 0.2704892 0.0000000
## 2554 0.4258033 0.2704892 0.0000000
## 2555 0.4258033 0.2704892 0.0000000
## 2556 0.4258033 0.2704892 0.0000000
## 2557 0.4258033 0.2704892 0.0000000
## 2558 0.4258033 0.2704892 0.0000000
## 2559 0.4258033 0.2704892 0.0000000
## 2560 0.4258033 0.2704892 0.0000000
## 2561 0.4258033 0.2704892 0.0000000
## 2562 0.4258033 0.2704892 0.0000000
## 2563 0.4258033 0.2704892 0.0000000
## 2564 0.4258033 0.2704892 0.0000000
## 2565 0.4258033 0.2704892 0.0000000
## 2566 0.4258033 0.2704892 0.0000000
## 2567 0.4258033 0.2704892 0.0000000
## 2568 0.4258033 0.2704892 0.0000000
## 2569 0.4258033 0.2704892 0.0000000
## 2570 0.4258033 0.2704892 0.0000000
## 2571 0.4258033 0.2704892 0.0000000
## 2572 0.4258033 0.2704892 0.0000000
## 2573 0.4258033 0.2704892 0.0000000
## 2574 0.4258033 0.2704892 0.0000000
## 2575 0.4258033 0.2704892 0.0000000
## 2576 0.4258033 0.2704892 0.0000000
## 2577 0.4258033 0.2704892 0.0000000
## 2578 0.4258033 0.2704892 0.0000000
## 2579 0.4258033 0.2704892 0.0000000
## 2580 0.4258033 0.2704892 0.0000000
## 2581 0.4258033 0.2704892 0.0000000
## 2582 0.4258033 0.2704892 0.0000000
## 2583 0.4258033 0.2704892 0.0000000
## 2584 0.4258033 0.2704892 0.0000000
## 2585 0.4258033 0.2704892 0.0000000
## 2586 0.4258033 0.2704892 0.0000000
## 2587 0.4258033 0.2704892 0.0000000
## 2588 0.4258033 0.2704892 0.0000000
## 2589 0.4258033 0.2704892 0.0000000
## 2590 0.4258033 0.2704892 0.0000000
## 2591 0.4258033 0.2704892 0.0000000
## 2592 0.4258033 0.2704892 0.0000000
## 2593 0.4258033 0.2704892 0.0000000
## 2594 0.4258033 0.2704892 0.0000000
## 2595 0.4258033 0.2704892 0.0000000
## 2596 0.4258033 0.2704892 0.0000000
## 2597 0.4258033 0.2704892 0.0000000
## 2598 0.4258033 0.2704892 0.0000000
## 2599 0.4258033 0.2704892 0.0000000
## 2600 0.4258033 0.2704892 0.0000000
## 2601 0.4258033 0.2704892 0.0000000
## 2602 0.4258033 0.2704892 0.0000000
## 2603 0.4258033 0.2704892 0.0000000
## 2604 0.4258033 0.2704892 0.0000000
## 2605 0.4258033 0.2704892 0.0000000
## 2606 0.4258033 0.2704892 0.0000000
## 2607 0.4258033 0.2704892 0.0000000
## 2608 0.4258033 0.2704892 0.0000000
## 2609 0.4258033 0.2704892 0.0000000
## 2610 0.4258033 0.2704892 0.0000000
## 2611 0.4258033 0.2704892 0.0000000
## 2612 0.4258033 0.2704892 0.0000000
## 2613 0.4258033 0.2704892 0.0000000
## 2614 0.4258033 0.2704892 0.0000000
## 2615 0.4258033 0.2704892 0.0000000
## 2616 0.4258033 0.2704892 0.0000000
## 2617 0.4258033 0.2704892 0.0000000
## 2618 0.4258033 0.2704892 0.0000000
## 2619 0.4258033 0.2704892 0.0000000
## 2620 0.4258033 0.2704892 0.0000000
## 2621 0.4258033 0.2704892 0.0000000
## 2622 0.4258033 0.2704892 0.0000000
## 2623 0.4258033 0.2704892 0.0000000
## 2624 0.4258033 0.2704892 0.0000000
## 2625 0.4258033 0.2704892 0.0000000
## 2626 0.4258033 0.2704892 0.0000000
## 2627 0.4258033 0.2704892 0.0000000
## 2628 0.4258033 0.2704892 0.0000000
## 2629 0.4258033 0.2704892 0.0000000
## 2630 0.4258033 0.2704892 0.0000000
## 2631 0.4258033 0.2704892 0.0000000
## baseline_beta_nestedness baseline_beta_total
## 1 0.05714286 0.20000000
## 2 0.05714286 0.20000000
## 3 0.05714286 0.20000000
## 4 0.05714286 0.20000000
## 5 0.05714286 0.20000000
## 6 0.05714286 0.20000000
## 7 0.05714286 0.20000000
## 8 0.05714286 0.20000000
## 9 0.05714286 0.20000000
## 10 0.05714286 0.20000000
## 11 0.05714286 0.20000000
## 12 0.05714286 0.20000000
## 13 0.05714286 0.20000000
## 14 0.05714286 0.20000000
## 15 0.05714286 0.20000000
## 16 0.05714286 0.20000000
## 17 0.05714286 0.20000000
## 18 0.05714286 0.20000000
## 19 0.05714286 0.20000000
## 20 0.05714286 0.20000000
## 21 0.05714286 0.20000000
## 22 0.05714286 0.20000000
## 23 0.05714286 0.20000000
## 24 0.05714286 0.20000000
## 25 0.05714286 0.20000000
## 26 0.05714286 0.20000000
## 27 0.05714286 0.20000000
## 28 0.05714286 0.20000000
## 29 0.05714286 0.20000000
## 30 0.05714286 0.20000000
## 31 0.05714286 0.20000000
## 32 0.05714286 0.20000000
## 33 0.05714286 0.20000000
## 34 0.05714286 0.20000000
## 35 0.05714286 0.20000000
## 36 0.05714286 0.20000000
## 37 0.05714286 0.20000000
## 38 0.05714286 0.20000000
## 39 0.05714286 0.20000000
## 40 0.05714286 0.20000000
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## 42 0.05714286 0.20000000
## 43 0.05714286 0.20000000
## 44 0.05714286 0.20000000
## 45 0.05714286 0.20000000
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## 48 0.05714286 0.20000000
## 49 0.05714286 0.20000000
## 50 0.05714286 0.20000000
## 51 0.05714286 0.20000000
## 52 0.05714286 0.20000000
## 53 0.05714286 0.20000000
## 54 0.05714286 0.20000000
## 55 0.05714286 0.20000000
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## 90 0.05714286 0.20000000
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## 92 0.05714286 0.20000000
## 93 0.05714286 0.20000000
## 94 0.05714286 0.20000000
## 95 0.05714286 0.20000000
## 96 0.05714286 0.20000000
## 97 0.05714286 0.20000000
## 98 0.05714286 0.20000000
## 99 0.05714286 0.20000000
## 100 0.05714286 0.20000000
## 101 0.05714286 0.20000000
## 102 0.05714286 0.20000000
## 103 0.05714286 0.20000000
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## 105 0.05714286 0.20000000
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## 111 0.05714286 0.20000000
## 112 0.05714286 0.20000000
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## 140 0.05714286 0.20000000
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## 149 0.05714286 0.20000000
## 150 0.05714286 0.20000000
## 151 0.05714286 0.20000000
## 152 0.05714286 0.20000000
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## 181 0.05714286 0.20000000
## 182 0.05714286 0.20000000
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## 184 0.05714286 0.20000000
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## 188 0.05714286 0.20000000
## 189 0.05714286 0.20000000
## 190 0.05714286 0.20000000
## 191 0.05714286 0.20000000
## 192 0.05714286 0.20000000
## 193 0.12500000 0.12500000
## 194 0.12500000 0.12500000
## 195 0.12500000 0.12500000
## 196 0.12500000 0.12500000
## 197 0.12500000 0.12500000
## 198 0.12500000 0.12500000
## 199 0.12500000 0.12500000
## 200 0.12500000 0.12500000
## 201 0.12500000 0.12500000
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## 206 0.12500000 0.12500000
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## 211 0.12500000 0.12500000
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## 214 0.12500000 0.12500000
## 215 0.12500000 0.12500000
## 216 0.12500000 0.12500000
## 217 0.12500000 0.12500000
## 218 0.12500000 0.12500000
## 219 0.12500000 0.12500000
## 220 0.12500000 0.12500000
## 221 0.12500000 0.12500000
## 222 0.12500000 0.12500000
## 223 0.12500000 0.12500000
## 224 0.12500000 0.12500000
## 225 0.12500000 0.12500000
## 226 0.12500000 0.12500000
## 227 0.12500000 0.12500000
## 228 0.12500000 0.12500000
## 229 0.12500000 0.12500000
## 230 0.12500000 0.12500000
## 231 0.12500000 0.12500000
## 232 0.12500000 0.12500000
## 233 0.12500000 0.12500000
## 234 0.12500000 0.12500000
## 235 0.12500000 0.12500000
## 236 0.12500000 0.12500000
## 237 0.12500000 0.12500000
## 238 0.12500000 0.12500000
## 239 0.12500000 0.12500000
## 240 0.12500000 0.12500000
## 241 0.12500000 0.12500000
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## 243 0.12500000 0.12500000
## 244 0.12500000 0.12500000
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## 255 0.12500000 0.12500000
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## 270 0.12500000 0.12500000
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## 272 0.12500000 0.12500000
## 273 0.12500000 0.12500000
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## 275 0.12500000 0.12500000
## 276 0.12500000 0.12500000
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## 279 0.12500000 0.12500000
## 280 0.12500000 0.12500000
## 281 0.12500000 0.12500000
## 282 0.12500000 0.12500000
## 283 0.12500000 0.12500000
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## 285 0.12500000 0.12500000
## 286 0.12500000 0.12500000
## 287 0.12500000 0.12500000
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## 289 0.12500000 0.12500000
## 290 0.12500000 0.12500000
## 291 0.12500000 0.12500000
## 292 0.12500000 0.12500000
## 293 0.12500000 0.12500000
## 294 0.12500000 0.12500000
## 295 0.12500000 0.12500000
## 296 0.12500000 0.12500000
## 297 0.12500000 0.12500000
## 298 0.12500000 0.12500000
## 299 0.12500000 0.12500000
## 300 0.12500000 0.12500000
## 301 0.12500000 0.12500000
## 302 0.12500000 0.12500000
## 303 0.12500000 0.12500000
## 304 0.12500000 0.12500000
## 305 0.12500000 0.12500000
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## 307 0.12500000 0.12500000
## 308 0.12500000 0.12500000
## 309 0.12500000 0.12500000
## 310 0.12500000 0.12500000
## 311 0.12500000 0.12500000
## 312 0.12500000 0.12500000
## 313 0.12500000 0.12500000
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## 315 0.12500000 0.12500000
## 316 0.12500000 0.12500000
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## 320 0.12500000 0.12500000
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## 325 0.12500000 0.12500000
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## 333 0.12500000 0.12500000
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## 349 0.12500000 0.12500000
## 350 0.12500000 0.12500000
## 351 0.12500000 0.12500000
## 352 0.12500000 0.12500000
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## 1730 0.05882353 0.05882353
## 1731 0.05882353 0.05882353
## 1732 0.05882353 0.05882353
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## 1779 0.05882353 0.05882353
## 1780 0.05882353 0.05882353
## 1781 0.05882353 0.05882353
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## 1785 0.05882353 0.05882353
## 1786 0.05882353 0.05882353
## 1787 0.05882353 0.05882353
## 1788 0.05882353 0.05882353
## 1789 0.05882353 0.05882353
## 1790 0.05882353 0.05882353
## 1791 0.05882353 0.05882353
## 1792 0.05882353 0.05882353
## 1793 0.05882353 0.05882353
## 1794 0.05882353 0.05882353
## 1795 0.05882353 0.05882353
## 1796 0.05882353 0.05882353
## 1797 0.05882353 0.05882353
## 1798 0.05882353 0.05882353
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## 1801 0.05882353 0.05882353
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## 1803 0.05882353 0.05882353
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## 1827 0.05882353 0.05882353
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## 1829 0.05882353 0.05882353
## 1830 0.05882353 0.05882353
## 1831 0.05882353 0.05882353
## 1832 0.05882353 0.05882353
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## 1834 0.05882353 0.05882353
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## 1837 0.05882353 0.05882353
## 1838 0.05882353 0.05882353
## 1839 0.05882353 0.05882353
## 1840 0.05882353 0.05882353
## 1841 0.05882353 0.05882353
## 1842 0.05882353 0.05882353
## 1843 0.05882353 0.05882353
## 1844 0.05882353 0.05882353
## 1845 0.05882353 0.05882353
## 1846 0.05882353 0.05882353
## 1847 0.05882353 0.05882353
## 1848 0.05882353 0.05882353
## 1849 0.05882353 0.05882353
## 1850 0.05882353 0.05882353
## 1851 0.05882353 0.05882353
## 1852 0.05882353 0.05882353
## 1853 0.05882353 0.05882353
## 1854 0.05882353 0.05882353
## 1855 0.05882353 0.05882353
## 1856 0.05882353 0.05882353
## 1857 0.05882353 0.05882353
## 1858 0.05882353 0.05882353
## 1859 0.05882353 0.05882353
## 1860 0.05882353 0.05882353
## 1861 0.05882353 0.05882353
## 1862 0.05882353 0.05882353
## 1863 0.05882353 0.05882353
## 1864 0.05882353 0.05882353
## 1865 0.05882353 0.05882353
## 1866 0.05882353 0.05882353
## 1867 0.05882353 0.05882353
## 1868 0.05882353 0.05882353
## 1869 0.05882353 0.05882353
## 1870 0.05882353 0.05882353
## 1871 0.05882353 0.05882353
## 1872 0.05882353 0.05882353
## 1873 0.05882353 0.05882353
## 1874 0.05882353 0.05882353
## 1875 0.05882353 0.05882353
## 1876 0.05882353 0.05882353
## 1877 0.05882353 0.05882353
## 1878 0.05882353 0.05882353
## 1879 0.05882353 0.05882353
## 1880 0.05882353 0.05882353
## 1881 0.05882353 0.05882353
## 1882 0.05882353 0.05882353
## 1883 0.05882353 0.05882353
## 1884 0.05882353 0.05882353
## 1885 0.05882353 0.05882353
## 1886 0.05882353 0.05882353
## 1887 0.05882353 0.05882353
## 1888 0.05882353 0.05882353
## 1889 0.05882353 0.05882353
## 1890 0.05882353 0.05882353
## 1891 0.05882353 0.05882353
## 1892 0.05882353 0.05882353
## 1893 0.05882353 0.05882353
## 1894 0.05882353 0.05882353
## 1895 0.05882353 0.05882353
## 1896 0.05882353 0.05882353
## 1897 0.05882353 0.05882353
## 1898 0.05882353 0.05882353
## 1899 0.05882353 0.05882353
## 1900 0.05882353 0.05882353
## 1901 0.05882353 0.05882353
## 1902 0.05882353 0.05882353
## 1903 0.05882353 0.05882353
## 1904 0.05882353 0.05882353
## 1905 0.05882353 0.05882353
## 1906 0.05882353 0.05882353
## 1907 0.05882353 0.05882353
## 1908 0.05882353 0.05882353
## 1909 0.05882353 0.05882353
## 1910 0.05882353 0.05882353
## 1911 0.05882353 0.05882353
## 1912 0.05882353 0.05882353
## 1913 0.05882353 0.05882353
## 1914 0.05882353 0.05882353
## 1915 0.05882353 0.05882353
## 1916 0.05882353 0.05882353
## 1917 0.05882353 0.05882353
## 1918 0.05882353 0.05882353
## 1919 0.05882353 0.05882353
## 1920 0.05882353 0.05882353
## 1921 0.14285714 0.14285714
## 1922 0.14285714 0.14285714
## 1923 0.14285714 0.14285714
## 1924 0.14285714 0.14285714
## 1925 0.14285714 0.14285714
## 1926 0.14285714 0.14285714
## 1927 0.14285714 0.14285714
## 1928 0.14285714 0.14285714
## 1929 0.14285714 0.14285714
## 1930 0.14285714 0.14285714
## 1931 0.14285714 0.14285714
## 1932 0.14285714 0.14285714
## 1933 0.14285714 0.14285714
## 1934 0.14285714 0.14285714
## 1935 0.14285714 0.14285714
## 1936 0.14285714 0.14285714
## 1937 0.14285714 0.14285714
## 1938 0.14285714 0.14285714
## 1939 0.14285714 0.14285714
## 1940 0.14285714 0.14285714
## 1941 0.14285714 0.14285714
## 1942 0.14285714 0.14285714
## 1943 0.14285714 0.14285714
## 1944 0.14285714 0.14285714
## 1945 0.14285714 0.14285714
## 1946 0.14285714 0.14285714
## 1947 0.14285714 0.14285714
## 1948 0.14285714 0.14285714
## 1949 0.14285714 0.14285714
## 1950 0.14285714 0.14285714
## 1951 0.14285714 0.14285714
## 1952 0.14285714 0.14285714
## 1953 0.14285714 0.14285714
## 1954 0.14285714 0.14285714
## 1955 0.14285714 0.14285714
## 1956 0.14285714 0.14285714
## 1957 0.14285714 0.14285714
## 1958 0.14285714 0.14285714
## 1959 0.14285714 0.14285714
## 1960 0.14285714 0.14285714
## 1961 0.14285714 0.14285714
## 1962 0.14285714 0.14285714
## 1963 0.14285714 0.14285714
## 1964 0.14285714 0.14285714
## 1965 0.14285714 0.14285714
## 1966 0.14285714 0.14285714
## 1967 0.14285714 0.14285714
## 1968 0.14285714 0.14285714
## 1969 0.14285714 0.14285714
## 1970 0.14285714 0.14285714
## 1971 0.14285714 0.14285714
## 1972 0.14285714 0.14285714
## 1973 0.14285714 0.14285714
## 1974 0.14285714 0.14285714
## 1975 0.14285714 0.14285714
## 1976 0.14285714 0.14285714
## 1977 0.14285714 0.14285714
## 1978 0.14285714 0.14285714
## 1979 0.14285714 0.14285714
## 1980 0.14285714 0.14285714
## 1981 0.14285714 0.14285714
## 1982 0.14285714 0.14285714
## 1983 0.14285714 0.14285714
## 1984 0.14285714 0.14285714
## 1985 0.14285714 0.14285714
## 1986 0.14285714 0.14285714
## 1987 0.14285714 0.14285714
## 1988 0.14285714 0.14285714
## 1989 0.14285714 0.14285714
## 1990 0.14285714 0.14285714
## 1991 0.14285714 0.14285714
## 1992 0.14285714 0.14285714
## 1993 0.14285714 0.14285714
## 1994 0.14285714 0.14285714
## 1995 0.14285714 0.14285714
## 1996 0.14285714 0.14285714
## 1997 0.14285714 0.14285714
## 1998 0.14285714 0.14285714
## 1999 0.14285714 0.14285714
## 2000 0.14285714 0.14285714
## 2001 0.14285714 0.14285714
## 2002 0.14285714 0.14285714
## 2003 0.14285714 0.14285714
## 2004 0.14285714 0.14285714
## 2005 0.14285714 0.14285714
## 2006 0.14285714 0.14285714
## 2007 0.14285714 0.14285714
## 2008 0.14285714 0.14285714
## 2009 0.14285714 0.14285714
## 2010 0.14285714 0.14285714
## 2011 0.14285714 0.14285714
## 2012 0.14285714 0.14285714
## 2013 0.14285714 0.14285714
## 2014 0.14285714 0.14285714
## 2015 0.14285714 0.14285714
## 2016 0.14285714 0.14285714
## 2017 0.14285714 0.14285714
## 2018 0.14285714 0.14285714
## 2019 0.14285714 0.14285714
## 2020 0.14285714 0.14285714
## 2021 0.14285714 0.14285714
## 2022 0.14285714 0.14285714
## 2023 0.14285714 0.14285714
## 2024 0.14285714 0.14285714
## 2025 0.14285714 0.14285714
## 2026 0.14285714 0.14285714
## 2027 0.14285714 0.14285714
## 2028 0.14285714 0.14285714
## 2029 0.14285714 0.14285714
## 2030 0.14285714 0.14285714
## 2031 0.14285714 0.14285714
## 2032 0.14285714 0.14285714
## 2033 0.14285714 0.14285714
## 2034 0.14285714 0.14285714
## 2035 0.14285714 0.14285714
## 2036 0.14285714 0.14285714
## 2037 0.14285714 0.14285714
## 2038 0.14285714 0.14285714
## 2039 0.14285714 0.14285714
## 2040 0.14285714 0.14285714
## 2041 0.14285714 0.14285714
## 2042 0.14285714 0.14285714
## 2043 0.14285714 0.14285714
## 2044 0.14285714 0.14285714
## 2045 0.14285714 0.14285714
## 2046 0.14285714 0.14285714
## 2047 0.14285714 0.14285714
## 2048 0.14285714 0.14285714
## 2049 0.14285714 0.14285714
## 2050 0.14285714 0.14285714
## 2051 0.14285714 0.14285714
## 2052 0.14285714 0.14285714
## 2053 0.14285714 0.14285714
## 2054 0.14285714 0.14285714
## 2055 0.14285714 0.14285714
## 2056 0.14285714 0.14285714
## 2057 0.14285714 0.14285714
## 2058 0.14285714 0.14285714
## 2059 0.14285714 0.14285714
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## 2609 0.07692308 0.07692308
## 2610 0.07692308 0.07692308
## 2611 0.07692308 0.07692308
## 2612 0.07692308 0.07692308
## 2613 0.07692308 0.07692308
## 2614 0.07692308 0.07692308
## 2615 0.07692308 0.07692308
## 2616 0.07692308 0.07692308
## 2617 0.07692308 0.07692308
## 2618 0.07692308 0.07692308
## 2619 0.07692308 0.07692308
## 2620 0.07692308 0.07692308
## 2621 0.07692308 0.07692308
## 2622 0.07692308 0.07692308
## 2623 0.07692308 0.07692308
## 2624 0.07692308 0.07692308
## 2625 0.07692308 0.07692308
## 2626 0.07692308 0.07692308
## 2627 0.07692308 0.07692308
## 2628 0.07692308 0.07692308
## 2629 0.07692308 0.07692308
## 2630 0.07692308 0.07692308
## 2631 0.07692308 0.07692308
## baseline_metaecosystem_richness set ID_first_patch ID_second_patch
## 1 9 1 1 11
## 2 9 2 1 11
## 3 9 3 1 11
## 4 9 4 1 11
## 5 9 7 1 11
## 6 9 8 1 11
## 7 9 9 1 11
## 8 9 10 1 11
## 9 9 11 1 11
## 10 9 12 1 11
## 11 9 13 1 11
## 12 9 14 1 11
## 13 9 27 1 11
## 14 9 28 1 11
## 15 9 29 1 11
## 16 9 30 1 11
## 17 9 31 1 11
## 18 9 32 1 11
## 19 9 33 1 11
## 20 9 34 1 11
## 21 9 37 1 11
## 22 9 38 1 11
## 23 9 39 1 11
## 24 9 40 1 11
## 25 9 1 1 11
## 26 9 2 1 11
## 27 9 3 1 11
## 28 9 4 1 11
## 29 9 7 1 11
## 30 9 8 1 11
## 31 9 9 1 11
## 32 9 10 1 11
## 33 9 11 1 11
## 34 9 12 1 11
## 35 9 13 1 11
## 36 9 14 1 11
## 37 9 27 1 11
## 38 9 28 1 11
## 39 9 29 1 11
## 40 9 30 1 11
## 41 9 31 1 11
## 42 9 32 1 11
## 43 9 33 1 11
## 44 9 34 1 11
## 45 9 37 1 11
## 46 9 38 1 11
## 47 9 39 1 11
## 48 9 40 1 11
## 49 9 1 1 11
## 50 9 2 1 11
## 51 9 3 1 11
## 52 9 4 1 11
## 53 9 7 1 11
## 54 9 8 1 11
## 55 9 9 1 11
## 56 9 10 1 11
## 57 9 11 1 11
## 58 9 12 1 11
## 59 9 13 1 11
## 60 9 14 1 11
## 61 9 27 1 11
## 62 9 28 1 11
## 63 9 29 1 11
## 64 9 30 1 11
## 65 9 31 1 11
## 66 9 32 1 11
## 67 9 33 1 11
## 68 9 34 1 11
## 69 9 37 1 11
## 70 9 38 1 11
## 71 9 39 1 11
## 72 9 40 1 11
## 73 9 1 1 11
## 74 9 2 1 11
## 75 9 3 1 11
## 76 9 4 1 11
## 77 9 7 1 11
## 78 9 8 1 11
## 79 9 9 1 11
## 80 9 10 1 11
## 81 9 11 1 11
## 82 9 12 1 11
## 83 9 13 1 11
## 84 9 14 1 11
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## 106 9 12 1 11
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## [ reached 'max' / getOption("max.print") -- omitted 7289 rows ]Filter according to disturbance
Here I’m filtering patches to have only the ones with disturbance high.
#Filter data sets according to the global disturbance
ds_individuals = ds_individuals %>%
filter(disturbance == disturbance_global_input)
ds_patches = ds_patches %>%
filter(disturbance == disturbance_global_input)
ds_patches_effect_size = ds_patches_effect_size %>%
filter(disturbance == disturbance_global_input)
ds_metaecosystems = ds_metaecosystems %>%
filter(disturbance == disturbance_global_input)ds_classes = ds_classes %>%
filter(disturbance == disturbance_global_input)
ds_classes_effect_size = ds_classes_effect_size %>%
filter(disturbance == disturbance_global_input)Plots & Analysis
All Meta-ecosystems
metaecosystem_type_i = c("Small-Small meta-ecosystem",
"Medium-Medium meta-ecosystem",
"Medium-Medium isolated",
"Large-Large meta-ecosystem",
"Small-Large meta-ecosystem",
"Small-Large isolated")Biomass
response_variable = "total_metaecosystem_bioarea_mm2"plot.metaecos.points(ds_metaecosystems,
metaecosystem_type_i,
response_variable,
3)
Boxplots
plot.metaecos.boxplots(ds_metaecosystems,
metaecosystem_type_i,
response_variable)
Replicates
plot.metaecos.replicates(ds_metaecosystems,
metaecosystem_type_i,
response_variable)
Alpha (mean Shannon)
response_variable = "mean_shannon"plot.metaecos.points(ds_metaecosystems,
metaecosystem_type_i,
response_variable,
3)
Boxplots
plot.metaecos.boxplots(ds_metaecosystems,
metaecosystem_type_i,
response_variable)
Replicates
plot.metaecos.replicates(ds_metaecosystems,
metaecosystem_type_i,
response_variable)
Beta (Bray-Curtis)
response_variable = "bray_curtis"plot.metaecos.points(ds_metaecosystems,
metaecosystem_type_i,
response_variable,
3)
Boxplots
plot.metaecos.boxplots(ds_metaecosystems,
metaecosystem_type_i,
response_variable)## Warning: Removed 2 rows containing non-finite values (`stat_boxplot()`).
Replicates
plot.metaecos.replicates(ds_metaecosystems,
metaecosystem_type_i,
response_variable)## Warning: Removed 2 rows containing non-finite values (`stat_summary()`).
Gamma (regional richness)
response_variable = "metaecosystem_richness"plot.metaecos.points(ds_metaecosystems,
metaecosystem_type_i,
response_variable,
3)
Boxplots
plot.metaecos.boxplots(ds_metaecosystems,
metaecosystem_type_i,
response_variable)
Replicates
plot.metaecos.replicates(ds_metaecosystems,
metaecosystem_type_i,
response_variable)
MM vs SL
Biomass
response_variable = "total_metaecosystem_bioarea_mm2"metaecosystem_type_i = c("Medium-Medium meta-ecosystem",
"Medium-Medium isolated",
"Small-Large meta-ecosystem",
"Small-Large isolated")plot.metaecos.points(ds_metaecosystems,
metaecosystem_type_i,
response_variable,
3)
Boxplots
plot.metaecos.boxplots(ds_metaecosystems,
metaecosystem_type_i,
response_variable)
Replicates
plot.metaecos.replicates(ds_metaecosystems,
metaecosystem_type_i,
response_variable)
MM vs SL meta-ecosystems
metaecosystem_type_i = c("Medium-Medium meta-ecosystem",
"Small-Large meta-ecosystem")filtered_data = ds_metaecosystems %>%
filter(time_point >= first_time_point_model,
time_point <= last_time_point_model,
metaecosystem_type %in% metaecosystem_type_i)plot.metaecos.points(filtered_data,
metaecosystem_type_i,
response_variable)
null_model = lmer(
get(response_variable) ~
day +
(day | system_nr),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = "Nelder_Mead")
)patch_size_symmetry and
patch_size_symmetry : day)
full_model = lmer(
get(response_variable) ~
day +
patch_size_symmetry +
patch_size_symmetry : day +
(day | system_nr),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = "Nelder_Mead")
)Click for model output
print(summary(full_model), digits = 1)## Linear mixed model fit by maximum likelihood ['lmerMod']
## Formula:
## get(response_variable) ~ day + patch_size_symmetry + patch_size_symmetry:day +
## (day | system_nr)
## Data: filtered_data
## Control: lmerControl(optimizer = "Nelder_Mead")
##
## AIC BIC logLik deviance df.resid
## 588.7 605.5 -286.4 572.7 52
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -1.99 -0.70 -0.08 0.63 2.84
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## system_nr (Intercept) 1662 41
## day 3 2 -1.00
## Residual 672 26
## Number of obs: 60, groups: system_nr, 10
##
## Fixed effects:
## Estimate Std. Error t value
## (Intercept) 201 23 9
## day -6 1 -6
## patch_size_symmetrysymmetric 54 32 2
## day:patch_size_symmetrysymmetric -2 1 -2
##
## Correlation of Fixed Effects:
## (Intr) day ptch__
## day -0.965
## ptch_sz_sym -0.707 0.683
## dy:ptch_sz_ 0.683 -0.707 -0.965
## optimizer (Nelder_Mead) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')#Create resid vs fitted
res_vs_fit = filtered_data %>%
mutate(predicted = fitted(full_model),
residuals = resid(full_model)) %>%
plot_ly(x = ~predicted,
y = ~residuals,
type = "scatter",
mode = "markers",
marker = list(size = 5, color = "#4C78A8"),
text = paste(" System nr: ", filtered_data$system_nr, "<br>",
"Day: ", filtered_data$day, "<br>",
"Meta-ecosystem: ", filtered_data$metaecosystem_type, "<br>",
"Tot Biomass: ", round(filtered_data$total_metaecosystem_bioarea_mm2, digits = 0), "<br>"),
hoverinfo = "text") %>%
plotly::layout(
xaxis = list(title = "Fitted Values"),
yaxis = list(title = "Residuals")
)Click for residual plots
res_vs_fitqqnorm(resid(full_model))
model_stats_full = compute.model.stats(full_model,
null_model,
"mixed_model")
model_stats_full %>%
mutate(deltaAIC = round(deltaAIC, digits = 1),
p_value = round(p_value, digits = 3),
R2 = NULL,
evidence = "",
evidence = ifelse(p_value > 0.1,
"none",
evidence),
evidence = ifelse(p_value < 0.1,
"* weak",
evidence),
evidence = ifelse(p_value < 0.05,
"** moderate",
evidence),
evidence = ifelse(p_value < 0.01,
"*** strong",
evidence),
evidence = ifelse(p_value < 0.001,
"**** very strong",
evidence),
p_value = ifelse(p_value < 0.001,
"< 0.001",
p_value)) %>%
print()## deltaAIC p_value evidence
## 1 1.3 0.264 none
patch_size_symmetry)
reduced_model = lmer(
get(response_variable) ~
day +
patch_size_symmetry +
(day | system_nr),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = "Nelder_Mead")
)Click for model output
print(summary(reduced_model), digits = 1)## Linear mixed model fit by maximum likelihood ['lmerMod']
## Formula: get(response_variable) ~ day + patch_size_symmetry + (day | system_nr)
## Data: filtered_data
## Control: lmerControl(optimizer = "Nelder_Mead")
##
## AIC BIC logLik deviance df.resid
## 588.8 603.5 -287.4 574.8 53
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.04 -0.75 0.02 0.63 2.92
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## system_nr (Intercept) 2193 47
## day 4 2 -1.00
## Residual 678 26
## Number of obs: 60, groups: system_nr, 10
##
## Fixed effects:
## Estimate Std. Error t value
## (Intercept) 224.9 18.1 12.5
## day -7.5 0.8 -9.6
## patch_size_symmetrysymmetric 6.9 8.3 0.8
##
## Correlation of Fixed Effects:
## (Intr) day
## day -0.946
## ptch_sz_sym -0.229 0.000
## optimizer (Nelder_Mead) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')#Create resid vs fitted
res_vs_fit = filtered_data %>%
mutate(predicted = fitted(reduced_model),
residuals = resid(reduced_model)) %>%
plot_ly(x = ~predicted,
y = ~residuals,
type = "scatter",
mode = "markers",
marker = list(size = 5, color = "#4C78A8"),
text = paste(" System nr: ", filtered_data$system_nr, "<br>",
"Day: ", filtered_data$day, "<br>",
"Meta-ecosystem: ", filtered_data$metaecosystem_type, "<br>",
"Tot Biomass: ", round(filtered_data$total_metaecosystem_bioarea_mm2, digits = 0), "<br>"),
hoverinfo = "text") %>%
plotly::layout(
xaxis = list(title = "Fitted Values"),
yaxis = list(title = "Residuals")
)Click for residual plots
res_vs_fitqqnorm(resid(reduced_model))
model_stats_fixed = compute.model.stats(reduced_model,
null_model,
"mixed_model")
model_stats_fixed %>%
mutate(deltaAIC = round(deltaAIC, digits = 1),
p_value = round(p_value, digits = 3),
R2 = NULL,
evidence = "",
evidence = ifelse(p_value > 0.1,
"none",
evidence),
evidence = ifelse(p_value < 0.1,
"* weak",
evidence),
evidence = ifelse(p_value < 0.05,
"** moderate",
evidence),
evidence = ifelse(p_value < 0.01,
"*** strong",
evidence),
evidence = ifelse(p_value < 0.001,
"**** very strong",
evidence),
p_value = ifelse(p_value < 0.001,
"< 0.001",
p_value)) %>%
print()## deltaAIC p_value evidence
## 1 1.4 0.454 noneresults_table = fill.results.table(
results_table,
response_variable,
metaecosystem_type_i,
model_stats_full,
model_stats_fixed
)SL (meta-ecosystems vs isolated)
metaecosystem_type_i = c("Small-Large meta-ecosystem",
"Small-Large isolated")filtered_data = ds_metaecosystems %>%
filter(time_point >= first_time_point_model,
time_point <= last_time_point_model,
metaecosystem_type %in% metaecosystem_type_i)plot.metaecos.points(filtered_data,
metaecosystem_type_i,
response_variable)
The p-values and ΔAIC of the connection are computed for all possible combinations of the isolated patches, creating a p-value and ΔAIC distributions. We keep as p-value and ΔAIC of the comparison the mean of such distributions.
Click for bootstrapping ΔAIC and p-value
If you see “Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel = ## 1e-15, : unused control arguments ignored”, Ignore it. It just means that you didn’t pass the control argument to the Nelder_Mead optimiser, so it uses the default.
# Compute stats for all patch combinations
isolated_combinations_sets_filtered = isolated_combinations_sets %>%
filter(disturbance == disturbance_global_input,
metaecosystem_type %in% metaecosystem_type_i)
n_sets = isolated_combinations_sets_filtered %>%
pull(set) %>%
max()
iterated_results_table = data.frame(
Response = as.character(NA),
Levels = as.character(NA),
ΔAIC_full = NA,
p_full = NA,
ΔR2_full = NA,
ΔAIC_fix = NA,
p_fix = NA,
ΔR2_fix = NA,
combination_set = NA,
system_nr_isolated_systems = as.character(NA)
) %>%
slice(-1)
for (set_input in 1:n_sets) {
system_nr_isolated_systems_input = isolated_combinations_sets_filtered %>%
filter(
metaecosystem_type %in% metaecosystem_type_i,
connection == "isolated",
set == set_input
) %>%
pull(system_nr)
filtered_data = ds_metaecosystems %>%
filter(
time_point >= first_time_point_model,
time_point <= last_time_point_model,
metaecosystem_type %in% metaecosystem_type_i,
connection == "connected" |
(connection == "isolated" &
system_nr %in% system_nr_isolated_systems_input)
)
null_model = lmer(
get(response_variable) ~
day +
(day | system_nr),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = optimizer_input,
optCtrl = list(method = method_input))
)
full_model = lmer(
get(response_variable) ~
day +
connection +
connection:day +
(day | system_nr),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = optimizer_input,
optCtrl = list(method = method_input))
)
model_stats_full = compute.model.stats(full_model,
null_model,
"mixed_model")
reduced_model = lmer(
get(response_variable) ~
day +
connection +
(day | system_nr),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = optimizer_input,
optCtrl = list(method = method_input))
)
model_stats_fixed = compute.model.stats(reduced_model,
null_model,
"mixed_model")
iterated_results_table = fill.results.table(
iterated_results_table,
response_variable,
metaecosystem_type_i,
model_stats_full,
model_stats_fixed
)
iterated_results_table$set[nrow(iterated_results_table)] = set_input
iterated_results_table$system_nr_isolated_systems[nrow(iterated_results_table)] = paste(system_nr_isolated_systems_input, collapse = " ")
}## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
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## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
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## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
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## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
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## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
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## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
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## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
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## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
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## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
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## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
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## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
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## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored
connection and connection : day)
Click for ΔAIC and p-value distributions
hist(iterated_results_table$ΔAIC_full, main = "Distribution of ΔAIC of the full model.") 
hist(iterated_results_table$p_full, main = "Distribution of p-values of the full model.") 
model_stats_full = data.frame(
deltaAIC = mean(iterated_results_table$ΔAIC_full),
p_value = mean(iterated_results_table$p_full),
R2 = NA
)
model_stats_full %>%
mutate(deltaAIC = round(deltaAIC, digits = 1),
p_value = round(p_value, digits = 3),
R2 = NULL,
evidence = "",
evidence = ifelse(p_value > 0.1,
"none",
evidence),
evidence = ifelse(p_value < 0.1,
"* weak",
evidence),
evidence = ifelse(p_value < 0.05,
"** moderate",
evidence),
evidence = ifelse(p_value < 0.01,
"*** strong",
evidence),
evidence = ifelse(p_value < 0.001,
"**** very strong",
evidence),
p_value = ifelse(p_value < 0.001,
"< 0.001",
p_value)) %>%
print()## deltaAIC p_value evidence
## 1 -5.1 0.011 ** moderateClick for which system nr produced which AIC in the full model
iterated_results_table %>%
select(system_nr_isolated_systems,
ΔAIC_full) %>%
arrange(ΔAIC_full)## system_nr_isolated_systems ΔAIC_full
## 1 1029 1035 1038 1042 -6.022025
## 2 1028 1035 1039 1042 -6.009392
## 3 1029 1032 1038 1045 -5.980998
## 4 1028 1035 1036 1042 -5.971627
## 5 1028 1032 1039 1045 -5.968418
## 6 1029 1035 1037 1043 -5.964009
## 7 1030 1032 1039 1043 -5.953994
## 8 1030 1033 1039 1042 -5.952080
## 9 1027 1035 1039 1043 -5.950406
## 10 1026 1035 1038 1042 -5.949312
## 11 1030 1032 1038 1044 -5.935165
## 12 1030 1034 1038 1042 -5.933681
## 13 1027 1035 1038 1041 -5.932083
## 14 1028 1035 1037 1041 -5.932061
## 15 1027 1035 1036 1043 -5.931435
## 16 1028 1035 1037 1044 -5.931425
## 17 1027 1035 1038 1044 -5.930187
## 18 1028 1032 1036 1045 -5.929937
## 19 1029 1033 1037 1045 -5.922847
## 20 1029 1032 1040 1043 -5.915603
## 21 1029 1033 1040 1042 -5.913018
## 22 1027 1033 1039 1045 -5.911002
## 23 1026 1035 1037 1043 -5.910253
## 24 1026 1032 1038 1045 -5.907733
## 25 1028 1034 1037 1045 -5.891026
## 26 1027 1034 1038 1045 -5.890883
## 27 1027 1033 1036 1045 -5.890744
## 28 1030 1032 1036 1043 -5.885985
## 29 1030 1032 1038 1041 -5.885243
## 30 1028 1032 1040 1044 -5.884380
## 31 1030 1033 1036 1042 -5.882925
## 32 1028 1034 1040 1042 -5.882767
## 33 1030 1033 1037 1044 -5.875438
## 34 1030 1034 1037 1043 -5.875257
## 35 1027 1031 1038 1045 -5.873727
## 36 1028 1031 1037 1045 -5.873315
## 37 1026 1033 1037 1045 -5.870195
## 38 1030 1031 1038 1042 -5.864916
## 39 1028 1032 1040 1041 -5.845141
## 40 1030 1033 1037 1041 -5.842017
## 41 1030 1031 1037 1043 -5.826602
## 42 1027 1033 1040 1044 -5.826177
## 43 1027 1034 1040 1043 -5.825908
## 44 1028 1031 1040 1042 -5.825505
## 45 1026 1032 1040 1043 -5.825061
## 46 1026 1033 1040 1042 -5.823777
## 47 1027 1033 1040 1041 -5.805192
## 48 1027 1031 1040 1043 -5.789613
## 49 1029 1035 1036 1042 -5.251301
## 50 1029 1035 1037 1041 -5.214670
## 51 1029 1032 1036 1045 -5.213476
## 52 1026 1035 1039 1042 -5.206071
## 53 1030 1032 1039 1041 -5.199912
## 54 1027 1035 1039 1041 -5.195244
## 55 1030 1031 1039 1042 -5.186668
## 56 1029 1032 1040 1041 -5.170284
## 57 1030 1034 1036 1042 -5.168899
## 58 1026 1032 1039 1045 -5.168465
## 59 1029 1031 1037 1045 -5.165148
## 60 1030 1032 1036 1044 -5.161803
## 61 1029 1031 1040 1042 -5.156784
## 62 1027 1035 1036 1044 -5.155613
## 63 1027 1031 1039 1045 -5.146903
## 64 1030 1034 1037 1041 -5.131450
## 65 1026 1035 1037 1044 -5.130977
## 66 1027 1034 1036 1045 -5.127348
## 67 1030 1031 1037 1044 -5.112757
## 68 1026 1034 1037 1045 -5.102779
## 69 1026 1034 1040 1042 -5.096091
## 70 1026 1032 1040 1044 -5.088332
## 71 1027 1034 1040 1041 -5.084501
## 72 1027 1031 1040 1044 -5.065938
## 73 1029 1033 1036 1042 -4.434082
## 74 1029 1031 1038 1042 -4.432915
## 75 1029 1032 1038 1041 -4.430208
## 76 1028 1031 1039 1042 -4.415847
## 77 1028 1032 1039 1041 -4.412631
## 78 1029 1032 1036 1043 -4.405513
## 79 1029 1033 1037 1041 -4.405467
## 80 1029 1031 1037 1043 -4.381131
## 81 1028 1034 1036 1042 -4.376436
## 82 1026 1033 1039 1042 -4.374303
## 83 1027 1033 1039 1041 -4.367195
## 84 1028 1032 1036 1044 -4.349511
## 85 1028 1034 1037 1041 -4.348239
## 86 1026 1032 1039 1043 -4.344340
## 87 1027 1031 1039 1043 -4.342572
## 88 1026 1034 1038 1042 -4.333840
## 89 1027 1034 1038 1041 -4.326583
## 90 1028 1031 1037 1044 -4.326530
## 91 1026 1032 1038 1044 -4.306005
## 92 1027 1031 1038 1044 -4.304605
## 93 1027 1033 1036 1044 -4.304519
## 94 1029 1033 1036 1045 -4.304489
## 95 1027 1034 1036 1043 -4.301859
## 96 1029 1035 1038 1041 -4.301289
## 97 1029 1035 1036 1043 -4.296825
## 98 1028 1035 1039 1041 -4.295904
## 99 1029 1031 1038 1045 -4.292952
## 100 1028 1031 1039 1045 -4.287696
## 101 1026 1033 1037 1044 -4.284830
## 102 1026 1034 1037 1043 -4.282201
## 103 1026 1033 1039 1045 -4.273499
## 104 1026 1035 1039 1043 -4.265870
## 105 1028 1035 1036 1044 -4.244515
## 106 1028 1034 1036 1045 -4.241291
## 107 1029 1033 1040 1041 -4.224922
## 108 1030 1033 1039 1041 -4.222213
## 109 1026 1035 1038 1044 -4.218484
## 110 1026 1034 1038 1045 -4.215300
## 111 1029 1031 1040 1043 -4.209660
## 112 1030 1031 1039 1043 -4.206887
## 113 1030 1033 1036 1044 -4.173196
## 114 1030 1034 1038 1041 -4.166109
## 115 1028 1034 1040 1041 -4.163908
## 116 1030 1031 1038 1044 -4.161992
## 117 1030 1034 1036 1043 -4.161909
## 118 1028 1031 1040 1044 -4.159809
## 119 1026 1033 1040 1044 -4.146483
## 120 1026 1034 1040 1043 -4.135442
connection)
Click for ΔAIC and p-value dsitributions
hist(iterated_results_table$ΔAIC_fix, main = "Distribution of ΔAIC of the fixed model.") 
hist(iterated_results_table$p_fix, main = "Distribution of p-values of the fixed model.") 
model_stats_fixed = data.frame(
deltaAIC = mean(iterated_results_table$ΔAIC_fix),
p_value = mean(iterated_results_table$p_fix),
R2 = NA
)
model_stats_fixed %>%
mutate(deltaAIC = round(deltaAIC, digits = 1),
p_value = round(p_value, digits = 3),
R2 = NULL,
evidence = "",
evidence = ifelse(p_value > 0.1,
"none",
evidence),
evidence = ifelse(p_value < 0.1,
"* weak",
evidence),
evidence = ifelse(p_value < 0.05,
"** moderate",
evidence),
evidence = ifelse(p_value < 0.01,
"*** strong",
evidence),
evidence = ifelse(p_value < 0.001,
"**** very strong",
evidence),
p_value = ifelse(p_value < 0.001,
"< 0.001",
p_value)) %>%
print()## deltaAIC p_value evidence
## 1 -6.9 0.003 *** strongresults_table = fill.results.table(
results_table,
response_variable,
metaecosystem_type_i,
model_stats_full,
model_stats_fixed
)MM (meta-ecosystems vs isolated)
metaecosystem_type_i = c("Medium-Medium meta-ecosystem",
"Medium-Medium isolated")filtered_data = ds_metaecosystems %>%
filter(time_point >= first_time_point_model,
time_point <= last_time_point_model,
metaecosystem_type %in% metaecosystem_type_i)plot.metaecos.points(filtered_data,
metaecosystem_type_i,
response_variable)
The p-values and ΔAIC of the connection are computed for all possible combinations of the isolated patches, creating a p-value and ΔAIC distributions. We keep as p-value and ΔAIC of the comparison the mean of such distributions.
Click for bootstrapping ΔAIC and p-value
If you see “Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel = ## 1e-15, : unused control arguments ignored”, Ignore it. It just means that you didn’t pass the control argument to the Nelder_Mead optimiser, so it uses the default.
# Compute stats for all patch combinations
isolated_combinations_sets_filtered = isolated_combinations_sets %>%
filter(disturbance == disturbance_global_input,
metaecosystem_type %in% metaecosystem_type_i)
n_sets = isolated_combinations_sets_filtered %>%
pull(set) %>%
max()
iterated_results_table = data.frame(
Response = as.character(NA),
Levels = as.character(NA),
ΔAIC_full = NA,
p_full = NA,
ΔR2_full = NA,
ΔAIC_fix = NA,
p_fix = NA,
ΔR2_fix = NA,
combination_set = NA,
system_nr_isolated_systems = as.character(NA)
) %>%
slice(-1)
for (set_input in 1:n_sets) {
system_nr_isolated_systems_input = isolated_combinations_sets_filtered %>%
filter(
metaecosystem_type %in% metaecosystem_type_i,
connection == "isolated",
set == set_input
) %>%
pull(system_nr)
filtered_data = ds_metaecosystems %>%
filter(
time_point >= first_time_point_model,
time_point <= last_time_point_model,
metaecosystem_type %in% metaecosystem_type_i,
connection == "connected" |
(connection == "isolated" &
system_nr %in% system_nr_isolated_systems_input)
)
null_model = lmer(
get(response_variable) ~
day +
(day | system_nr),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = optimizer_input,
optCtrl = list(method = method_input))
)
full_model = lmer(
get(response_variable) ~
day +
connection +
connection:day +
(day | system_nr),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = optimizer_input,
optCtrl = list(method = method_input))
)
model_stats_full = compute.model.stats(full_model,
null_model,
"mixed_model")
reduced_model = lmer(
get(response_variable) ~
day +
connection +
(day | system_nr),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = optimizer_input,
optCtrl = list(method = method_input))
)
model_stats_fixed = compute.model.stats(reduced_model,
null_model,
"mixed_model")
iterated_results_table = fill.results.table(
iterated_results_table,
response_variable,
metaecosystem_type_i,
model_stats_full,
model_stats_fixed
)
iterated_results_table$set[nrow(iterated_results_table)] = set_input
iterated_results_table$system_nr_isolated_systems[nrow(iterated_results_table)] = paste(system_nr_isolated_systems_input, collapse = " ")
}## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored
connection and connection : day)
Click for ΔAIC and p-value distributions
hist(iterated_results_table$ΔAIC_full, main = "Distribution of ΔAIC of the full model.") 
hist(iterated_results_table$p_full, main = "Distribution of p-values of the full model.") 
model_stats_full = data.frame(
deltaAIC = mean(iterated_results_table$ΔAIC_full),
p_value = mean(iterated_results_table$p_full),
R2 = NA
)
model_stats_full %>%
mutate(deltaAIC = round(deltaAIC, digits = 1),
p_value = round(p_value, digits = 3),
R2 = NULL,
evidence = "",
evidence = ifelse(p_value > 0.1,
"none",
evidence),
evidence = ifelse(p_value < 0.1,
"* weak",
evidence),
evidence = ifelse(p_value < 0.05,
"** moderate",
evidence),
evidence = ifelse(p_value < 0.01,
"*** strong",
evidence),
evidence = ifelse(p_value < 0.001,
"**** very strong",
evidence),
p_value = ifelse(p_value < 0.001,
"< 0.001",
p_value)) %>%
print()## deltaAIC p_value evidence
## 1 0.3 0.167 noneClick for which system nr produced which AIC in the full model
iterated_results_table %>%
select(system_nr_isolated_systems,
ΔAIC_full) %>%
arrange(ΔAIC_full)## system_nr_isolated_systems ΔAIC_full
## 1 1056 1065 -0.62042593
## 2 1065 1056 -0.62042593
## 3 1058 1062 -0.49794844
## 4 1062 1058 -0.49794844
## 5 1056 1064 -0.26493674
## 6 1064 1056 -0.26493674
## 7 1059 1061 -0.20354500
## 8 1061 1059 -0.20354500
## 9 1057 1062 -0.19138169
## 10 1062 1057 -0.19138169
## 11 1057 1065 0.02135567
## 12 1065 1057 0.02135567
## 13 1058 1064 0.05043751
## 14 1064 1058 0.05043751
## 15 1059 1060 0.10548001
## 16 1060 1059 0.10548001
## 17 1059 1063 0.34923867
## 18 1063 1059 0.34923867
## 19 1060 1065 0.74571276
## 20 1065 1060 0.74571276
## 21 1061 1064 0.76203591
## 22 1064 1061 0.76203591
## 23 1062 1063 0.84585905
## 24 1063 1062 0.84585905
## 25 1058 1060 1.20377042
## 26 1060 1058 1.20377042
## 27 1057 1061 1.22459781
## 28 1061 1057 1.22459781
## 29 1056 1063 1.24283225
## 30 1063 1056 1.24283225
connection)
Click for ΔAIC and p-value dsitributions
hist(iterated_results_table$ΔAIC_fix, main = "Distribution of ΔAIC of the fixed model.") 
hist(iterated_results_table$p_fix, main = "Distribution of p-values of the fixed model.") 
model_stats_fixed = data.frame(
deltaAIC = mean(iterated_results_table$ΔAIC_fix),
p_value = mean(iterated_results_table$p_fix),
R2 = NA
)
model_stats_fixed %>%
mutate(deltaAIC = round(deltaAIC, digits = 1),
p_value = round(p_value, digits = 3),
R2 = NULL,
evidence = "",
evidence = ifelse(p_value > 0.1,
"none",
evidence),
evidence = ifelse(p_value < 0.1,
"* weak",
evidence),
evidence = ifelse(p_value < 0.05,
"** moderate",
evidence),
evidence = ifelse(p_value < 0.01,
"*** strong",
evidence),
evidence = ifelse(p_value < 0.001,
"**** very strong",
evidence),
p_value = ifelse(p_value < 0.001,
"< 0.001",
p_value)) %>%
print()## deltaAIC p_value evidence
## 1 0.9 0.356 noneresults_table = fill.results.table(
results_table,
response_variable,
metaecosystem_type_i,
model_stats_full,
model_stats_fixed
)Alpha (mean Shannon)
response_variable = "mean_shannon"metaecosystem_type_i = c("Medium-Medium meta-ecosystem",
"Medium-Medium isolated",
"Small-Large meta-ecosystem",
"Small-Large isolated")plot.metaecos.points(ds_metaecosystems,
metaecosystem_type_i,
response_variable,
3)
Boxplots
plot.metaecos.boxplots(ds_metaecosystems,
metaecosystem_type_i,
response_variable)
Replicates
plot.metaecos.replicates(ds_metaecosystems,
metaecosystem_type_i,
response_variable)
MM vs SL meta-ecosystems
metaecosystem_type_i = c("Medium-Medium meta-ecosystem",
"Small-Large meta-ecosystem")filtered_data = ds_metaecosystems %>%
filter(time_point >= first_time_point_model,
time_point <= last_time_point_model,
metaecosystem_type %in% metaecosystem_type_i)plot.metaecos.points(filtered_data,
metaecosystem_type_i,
response_variable)
null_model = lmer(
get(response_variable) ~
day +
(day | system_nr),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = "Nelder_Mead")
)patch_size_symmetry and
patch_size_symmetry : day)
full_model = lmer(
get(response_variable) ~
day +
patch_size_symmetry +
patch_size_symmetry : day +
(day | system_nr),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = "Nelder_Mead")
)Click for model output
print(summary(full_model), digits = 1)## Linear mixed model fit by maximum likelihood ['lmerMod']
## Formula:
## get(response_variable) ~ day + patch_size_symmetry + patch_size_symmetry:day +
## (day | system_nr)
## Data: filtered_data
## Control: lmerControl(optimizer = "Nelder_Mead")
##
## AIC BIC logLik deviance df.resid
## -0.4 16.4 8.2 -16.4 52
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.19 -0.58 0.02 0.63 2.23
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## system_nr (Intercept) 1e-03 0.032
## day 3e-05 0.006 -1.00
## Residual 4e-02 0.200
## Number of obs: 60, groups: system_nr, 10
##
## Fixed effects:
## Estimate Std. Error t value
## (Intercept) 1.621 0.104 16
## day -0.029 0.006 -5
## patch_size_symmetrysymmetric -0.202 0.147 -1
## day:patch_size_symmetrysymmetric 0.026 0.008 3
##
## Correlation of Fixed Effects:
## (Intr) day ptch__
## day -0.898
## ptch_sz_sym -0.707 0.635
## dy:ptch_sz_ 0.635 -0.707 -0.898
## optimizer (Nelder_Mead) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')#Create resid vs fitted
res_vs_fit = filtered_data %>%
mutate(predicted = fitted(full_model),
residuals = resid(full_model)) %>%
plot_ly(x = ~predicted,
y = ~residuals,
type = "scatter",
mode = "markers",
marker = list(size = 5, color = "#4C78A8"),
text = paste(" System nr: ", filtered_data$system_nr, "<br>",
"Day: ", filtered_data$day, "<br>",
"Meta-ecosystem: ", filtered_data$metaecosystem_type, "<br>",
"Tot Biomass: ", round(filtered_data$total_metaecosystem_bioarea_mm2, digits = 0), "<br>"),
hoverinfo = "text") %>%
plotly::layout(
xaxis = list(title = "Fitted Values"),
yaxis = list(title = "Residuals")
)Click for residual plots
res_vs_fitqqnorm(resid(full_model))
model_stats_full = compute.model.stats(full_model,
null_model,
"mixed_model")
model_stats_full %>%
mutate(deltaAIC = round(deltaAIC, digits = 1),
p_value = round(p_value, digits = 3),
R2 = NULL,
evidence = "",
evidence = ifelse(p_value > 0.1,
"none",
evidence),
evidence = ifelse(p_value < 0.1,
"* weak",
evidence),
evidence = ifelse(p_value < 0.05,
"** moderate",
evidence),
evidence = ifelse(p_value < 0.01,
"*** strong",
evidence),
evidence = ifelse(p_value < 0.001,
"**** very strong",
evidence),
p_value = ifelse(p_value < 0.001,
"< 0.001",
p_value)) %>%
print()## deltaAIC p_value evidence
## 1 -7.3 0.003 *** strong
patch_size_symmetry)
reduced_model = lmer(
get(response_variable) ~
day +
patch_size_symmetry +
(day | system_nr),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = "Nelder_Mead")
)Click for model output
print(summary(reduced_model), digits = 1)## Linear mixed model fit by maximum likelihood ['lmerMod']
## Formula: get(response_variable) ~ day + patch_size_symmetry + (day | system_nr)
## Data: filtered_data
## Control: lmerControl(optimizer = "Nelder_Mead")
##
## AIC BIC logLik deviance df.resid
## 5.3 19.9 4.4 -8.7 53
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.12 -0.42 -0.05 0.66 2.05
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## system_nr (Intercept) 2e-02 0.14
## day 2e-04 0.01 -1.00
## Residual 4e-02 0.21
## Number of obs: 60, groups: system_nr, 10
##
## Fixed effects:
## Estimate Std. Error t value
## (Intercept) 1.428 0.093 15
## day -0.016 0.005 -3
## patch_size_symmetrysymmetric 0.184 0.064 3
##
## Correlation of Fixed Effects:
## (Intr) day
## day -0.871
## ptch_sz_sym -0.347 0.000
## optimizer (Nelder_Mead) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')#Create resid vs fitted
res_vs_fit = filtered_data %>%
mutate(predicted = fitted(reduced_model),
residuals = resid(reduced_model)) %>%
plot_ly(x = ~predicted,
y = ~residuals,
type = "scatter",
mode = "markers",
marker = list(size = 5, color = "#4C78A8"),
text = paste(" System nr: ", filtered_data$system_nr, "<br>",
"Day: ", filtered_data$day, "<br>",
"Meta-ecosystem: ", filtered_data$metaecosystem_type, "<br>",
"Tot Biomass: ", round(filtered_data$total_metaecosystem_bioarea_mm2, digits = 0), "<br>"),
hoverinfo = "text") %>%
plotly::layout(
xaxis = list(title = "Fitted Values"),
yaxis = list(title = "Residuals")
)Click for residual plots
res_vs_fitqqnorm(resid(reduced_model))
model_stats_fixed = compute.model.stats(reduced_model,
null_model,
"mixed_model")
model_stats_fixed %>%
mutate(deltaAIC = round(deltaAIC, digits = 1),
p_value = round(p_value, digits = 3),
R2 = NULL,
evidence = "",
evidence = ifelse(p_value > 0.1,
"none",
evidence),
evidence = ifelse(p_value < 0.1,
"* weak",
evidence),
evidence = ifelse(p_value < 0.05,
"** moderate",
evidence),
evidence = ifelse(p_value < 0.01,
"*** strong",
evidence),
evidence = ifelse(p_value < 0.001,
"**** very strong",
evidence),
p_value = ifelse(p_value < 0.001,
"< 0.001",
p_value)) %>%
print()## deltaAIC p_value evidence
## 1 -1.7 0.056 * weakresults_table = fill.results.table(
results_table,
response_variable,
metaecosystem_type_i,
model_stats_full,
model_stats_fixed
)SL (meta-ecosystems vs isolated)
metaecosystem_type_i = c("Small-Large meta-ecosystem",
"Small-Large isolated")filtered_data = ds_metaecosystems %>%
filter(time_point >= first_time_point_model,
time_point <= last_time_point_model,
metaecosystem_type %in% metaecosystem_type_i)plot.metaecos.points(filtered_data,
metaecosystem_type_i,
response_variable)
The p-values and ΔAIC of the connection are computed for all possible combinations of the isolated patches, creating a p-value and ΔAIC distributions. We keep as p-value and ΔAIC of the comparison the mean of such distributions.
Click for bootstrapping ΔAIC and p-value
If you see “Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel = ## 1e-15, : unused control arguments ignored”, Ignore it. It just means that you didn’t pass the control argument to the Nelder_Mead optimiser, so it uses the default.
# Compute stats for all patch combinations
isolated_combinations_sets_filtered = isolated_combinations_sets %>%
filter(disturbance == disturbance_global_input,
metaecosystem_type %in% metaecosystem_type_i)
n_sets = isolated_combinations_sets_filtered %>%
pull(set) %>%
max()
iterated_results_table = data.frame(
Response = as.character(NA),
Levels = as.character(NA),
ΔAIC_full = NA,
p_full = NA,
ΔR2_full = NA,
ΔAIC_fix = NA,
p_fix = NA,
ΔR2_fix = NA,
combination_set = NA,
system_nr_isolated_systems = as.character(NA)
) %>%
slice(-1)
for (set_input in 1:n_sets) {
system_nr_isolated_systems_input = isolated_combinations_sets_filtered %>%
filter(
metaecosystem_type %in% metaecosystem_type_i,
connection == "isolated",
set == set_input
) %>%
pull(system_nr)
filtered_data = ds_metaecosystems %>%
filter(
time_point >= first_time_point_model,
time_point <= last_time_point_model,
metaecosystem_type %in% metaecosystem_type_i,
connection == "connected" |
(connection == "isolated" &
system_nr %in% system_nr_isolated_systems_input)
)
null_model = lmer(
get(response_variable) ~
day +
(day | system_nr),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = optimizer_input,
optCtrl = list(method = method_input))
)
full_model = lmer(
get(response_variable) ~
day +
connection +
connection:day +
(day | system_nr),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = optimizer_input,
optCtrl = list(method = method_input))
)
model_stats_full = compute.model.stats(full_model,
null_model,
"mixed_model")
reduced_model = lmer(
get(response_variable) ~
day +
connection +
(day | system_nr),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = optimizer_input,
optCtrl = list(method = method_input))
)
model_stats_fixed = compute.model.stats(reduced_model,
null_model,
"mixed_model")
iterated_results_table = fill.results.table(
iterated_results_table,
response_variable,
metaecosystem_type_i,
model_stats_full,
model_stats_fixed
)
iterated_results_table$set[nrow(iterated_results_table)] = set_input
iterated_results_table$system_nr_isolated_systems[nrow(iterated_results_table)] = paste(system_nr_isolated_systems_input, collapse = " ")
}## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in checkConv(attr(opt, "derivs"), opt$par, ctrl = control$checkConv, :
## Model failed to converge with max|grad| = 0.00482332 (tol = 0.002, component 1)## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in checkConv(attr(opt, "derivs"), opt$par, ctrl = control$checkConv, :
## Model failed to converge with max|grad| = 0.0147445 (tol = 0.002, component 1)## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored
connection and connection : day)
Click for ΔAIC and p-value distributions
hist(iterated_results_table$ΔAIC_full, main = "Distribution of ΔAIC of the full model.") 
hist(iterated_results_table$p_full, main = "Distribution of p-values of the full model.") 
model_stats_full = data.frame(
deltaAIC = mean(iterated_results_table$ΔAIC_full),
p_value = mean(iterated_results_table$p_full),
R2 = NA
)
model_stats_full %>%
mutate(deltaAIC = round(deltaAIC, digits = 1),
p_value = round(p_value, digits = 3),
R2 = NULL,
evidence = "",
evidence = ifelse(p_value > 0.1,
"none",
evidence),
evidence = ifelse(p_value < 0.1,
"* weak",
evidence),
evidence = ifelse(p_value < 0.05,
"** moderate",
evidence),
evidence = ifelse(p_value < 0.01,
"*** strong",
evidence),
evidence = ifelse(p_value < 0.001,
"**** very strong",
evidence),
p_value = ifelse(p_value < 0.001,
"< 0.001",
p_value)) %>%
print()## deltaAIC p_value evidence
## 1 -1.7 0.061 * weakClick for which system nr produced which AIC in the full model
iterated_results_table %>%
select(system_nr_isolated_systems,
ΔAIC_full) %>%
arrange(ΔAIC_full)## system_nr_isolated_systems ΔAIC_full
## 1 1030 1031 1037 1044 -3.2658662
## 2 1030 1031 1039 1042 -3.1902927
## 3 1026 1035 1037 1044 -3.1184539
## 4 1026 1035 1039 1042 -3.0498505
## 5 1029 1031 1040 1042 -2.9582525
## 6 1027 1031 1040 1044 -2.9161783
## 7 1029 1035 1036 1042 -2.8370408
## 8 1027 1035 1036 1044 -2.7773951
## 9 1026 1034 1040 1042 -2.7516252
## 10 1029 1031 1037 1045 -2.7318940
## 11 1030 1033 1037 1044 -2.7253151
## 12 1030 1034 1036 1042 -2.7137428
## 13 1030 1032 1036 1044 -2.7114029
## 14 1027 1031 1039 1045 -2.6823829
## 15 1030 1033 1039 1042 -2.6125976
## 16 1026 1032 1040 1044 -2.6074367
## 17 1028 1035 1037 1044 -2.5148704
## 18 1026 1033 1037 1044 -2.5148462
## 19 1026 1034 1037 1045 -2.5107510
## 20 1026 1032 1039 1045 -2.4777456
## 21 1028 1031 1037 1044 -2.4644361
## 22 1028 1035 1039 1042 -2.3997450
## 23 1029 1033 1040 1042 -2.3883546
## 24 1027 1033 1040 1044 -2.3422727
## 25 1026 1033 1039 1042 -2.3223480
## 26 1029 1035 1037 1041 -2.2911892
## 27 1028 1031 1039 1042 -2.2608060
## 28 1029 1033 1037 1045 -2.2388491
## 29 1027 1035 1039 1041 -2.2329835
## 30 1030 1034 1037 1041 -2.1858149
## 31 1030 1033 1036 1044 -2.1815047
## 32 1030 1032 1039 1041 -2.1812818
## 33 1029 1032 1036 1045 -2.1666678
## 34 1027 1034 1036 1045 -2.1360380
## 35 1027 1033 1036 1044 -2.1353277
## 36 1027 1033 1039 1045 -2.1347409
## 37 1028 1032 1040 1044 -2.1315380
## 38 1028 1034 1040 1042 -2.1114067
## 39 1029 1033 1036 1042 -2.1107839
## 40 1026 1033 1040 1044 -2.0926051
## 41 1029 1035 1038 1042 -2.0353298
## 42 1028 1031 1040 1044 -2.0241523
## 43 1028 1035 1036 1044 -1.9870485
## 44 1028 1032 1036 1044 -1.9830983
## 45 1028 1034 1037 1045 -1.9598801
## 46 1026 1033 1039 1045 -1.9486814
## 47 1029 1032 1040 1041 -1.9381692
## 48 1027 1035 1038 1044 -1.9306806
## 49 1030 1032 1038 1044 -1.9295017
## 50 1030 1034 1038 1042 -1.9220500
## 51 1028 1032 1039 1045 -1.9218019
## 52 1030 1031 1038 1044 -1.9169879
## 53 1027 1034 1040 1041 -1.9074780
## 54 1028 1031 1039 1045 -1.8794146
## 55 1027 1031 1038 1044 -1.8782998
## 56 1029 1031 1038 1042 -1.8673505
## 57 1028 1034 1036 1042 -1.8480452
## 58 1026 1035 1038 1044 -1.8019937
## 59 1029 1033 1037 1041 -1.7843168
## 60 1026 1032 1038 1044 -1.7648774
## 61 1030 1033 1039 1041 -1.7338144
## 62 1029 1033 1036 1045 -1.6803511
## 63 1026 1034 1038 1042 -1.6750491
## 64 1027 1033 1039 1041 -1.5668099
## 65 1028 1035 1039 1041 -1.5647583
## 66 1028 1032 1039 1041 -1.5639659
## 67 1030 1033 1036 1042 -1.5109156
## 68 1026 1033 1037 1045 -1.5017169
## 69 1029 1033 1040 1041 -1.4493556
## 70 1029 1032 1038 1045 -1.4477843
## 71 1026 1033 1040 1042 -1.4287577
## 72 1027 1034 1038 1045 -1.4224364
## 73 1028 1034 1036 1045 -1.4035177
## 74 1029 1031 1038 1045 -1.4007823
## 75 1028 1031 1037 1045 -1.3837852
## 76 1028 1031 1040 1042 -1.3837003
## 77 1028 1034 1037 1041 -1.3704474
## 78 1029 1035 1037 1043 -1.3447447
## 79 1028 1035 1036 1042 -1.3379690
## 80 1030 1031 1038 1042 -1.3160477
## 81 1027 1035 1039 1043 -1.2746212
## 82 1030 1032 1039 1043 -1.2667283
## 83 1030 1031 1039 1043 -1.2581718
## 84 1027 1031 1039 1043 -1.2407733
## 85 1030 1034 1037 1043 -1.2155303
## 86 1026 1034 1038 1045 -1.2151508
## 87 1026 1035 1038 1042 -1.2088780
## 88 1029 1031 1037 1043 -1.2066846
## 89 1030 1033 1037 1041 -1.2051259
## 90 1028 1034 1040 1041 -1.1992563
## 91 1026 1032 1039 1043 -1.1679179
## 92 1026 1035 1039 1043 -1.1632386
## 93 1027 1033 1036 1045 -1.1346786
## 94 1029 1035 1038 1041 -1.0874779
## 95 1029 1032 1038 1041 -1.0622404
## 96 1026 1034 1037 1043 -1.0577309
## 97 1029 1032 1040 1043 -1.0517986
## 98 1028 1035 1037 1041 -1.0447430
## 99 1029 1032 1036 1043 -1.0353358
## 100 1027 1034 1040 1043 -1.0231825
## 101 1027 1034 1038 1041 -1.0063826
## 102 1030 1034 1038 1041 -0.9975399
## 103 1029 1031 1040 1043 -0.9887564
## 104 1028 1032 1036 1045 -0.9522282
## 105 1027 1031 1038 1045 -0.9286757
## 106 1027 1033 1040 1041 -0.9069473
## 107 1029 1035 1036 1043 -0.8866580
## 108 1026 1034 1040 1043 -0.8337482
## 109 1027 1034 1036 1043 -0.8147813
## 110 1030 1034 1036 1043 -0.7999913
## 111 1030 1031 1037 1043 -0.7969388
## 112 1026 1032 1038 1045 -0.7962529
## 113 1028 1032 1040 1041 -0.7396395
## 114 1026 1035 1037 1043 -0.7119218
## 115 1027 1035 1038 1041 -0.6161209
## 116 1030 1032 1038 1041 -0.5240635
## 117 1027 1031 1040 1043 -0.5222448
## 118 1027 1035 1036 1043 -0.4430857
## 119 1026 1032 1040 1043 -0.4377593
## 120 1030 1032 1036 1043 -0.3648467
connection)
Click for ΔAIC and p-value dsitributions
hist(iterated_results_table$ΔAIC_fix, main = "Distribution of ΔAIC of the fixed model.") 
hist(iterated_results_table$p_fix, main = "Distribution of p-values of the fixed model.") 
model_stats_fixed = data.frame(
deltaAIC = mean(iterated_results_table$ΔAIC_fix),
p_value = mean(iterated_results_table$p_fix),
R2 = NA
)
model_stats_fixed %>%
mutate(deltaAIC = round(deltaAIC, digits = 1),
p_value = round(p_value, digits = 3),
R2 = NULL,
evidence = "",
evidence = ifelse(p_value > 0.1,
"none",
evidence),
evidence = ifelse(p_value < 0.1,
"* weak",
evidence),
evidence = ifelse(p_value < 0.05,
"** moderate",
evidence),
evidence = ifelse(p_value < 0.01,
"*** strong",
evidence),
evidence = ifelse(p_value < 0.001,
"**** very strong",
evidence),
p_value = ifelse(p_value < 0.001,
"< 0.001",
p_value)) %>%
print()## deltaAIC p_value evidence
## 1 -3.6 0.019 ** moderateresults_table = fill.results.table(
results_table,
response_variable,
metaecosystem_type_i,
model_stats_full,
model_stats_fixed
)MM (meta-ecosystems vs isolated)
metaecosystem_type_i = c("Medium-Medium meta-ecosystem",
"Medium-Medium isolated")filtered_data = ds_metaecosystems %>%
filter(time_point >= first_time_point_model,
time_point <= last_time_point_model,
metaecosystem_type %in% metaecosystem_type_i)plot.metaecos.points(filtered_data,
metaecosystem_type_i,
response_variable)
The p-values and ΔAIC of the connection are computed for all possible combinations of the isolated patches, creating a p-value and ΔAIC distributions. We keep as p-value and ΔAIC of the comparison the mean of such distributions.
Click for bootstrapping ΔAIC and p-value
If you see “Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel = ## 1e-15, : unused control arguments ignored”, Ignore it. It just means that you didn’t pass the control argument to the Nelder_Mead optimiser, so it uses the default.
# Compute stats for all patch combinations
isolated_combinations_sets_filtered = isolated_combinations_sets %>%
filter(disturbance == disturbance_global_input,
metaecosystem_type %in% metaecosystem_type_i)
n_sets = isolated_combinations_sets_filtered %>%
pull(set) %>%
max()
iterated_results_table = data.frame(
Response = as.character(NA),
Levels = as.character(NA),
ΔAIC_full = NA,
p_full = NA,
ΔR2_full = NA,
ΔAIC_fix = NA,
p_fix = NA,
ΔR2_fix = NA,
combination_set = NA,
system_nr_isolated_systems = as.character(NA)
) %>%
slice(-1)
for (set_input in 1:n_sets) {
system_nr_isolated_systems_input = isolated_combinations_sets_filtered %>%
filter(
metaecosystem_type %in% metaecosystem_type_i,
connection == "isolated",
set == set_input
) %>%
pull(system_nr)
filtered_data = ds_metaecosystems %>%
filter(
time_point >= first_time_point_model,
time_point <= last_time_point_model,
metaecosystem_type %in% metaecosystem_type_i,
connection == "connected" |
(connection == "isolated" &
system_nr %in% system_nr_isolated_systems_input)
)
null_model = lmer(
get(response_variable) ~
day +
(day | system_nr),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = optimizer_input,
optCtrl = list(method = method_input))
)
full_model = lmer(
get(response_variable) ~
day +
connection +
connection:day +
(day | system_nr),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = optimizer_input,
optCtrl = list(method = method_input))
)
model_stats_full = compute.model.stats(full_model,
null_model,
"mixed_model")
reduced_model = lmer(
get(response_variable) ~
day +
connection +
(day | system_nr),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = optimizer_input,
optCtrl = list(method = method_input))
)
model_stats_fixed = compute.model.stats(reduced_model,
null_model,
"mixed_model")
iterated_results_table = fill.results.table(
iterated_results_table,
response_variable,
metaecosystem_type_i,
model_stats_full,
model_stats_fixed
)
iterated_results_table$set[nrow(iterated_results_table)] = set_input
iterated_results_table$system_nr_isolated_systems[nrow(iterated_results_table)] = paste(system_nr_isolated_systems_input, collapse = " ")
}## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored
connection and connection : day)
Click for ΔAIC and p-value distributions
hist(iterated_results_table$ΔAIC_full, main = "Distribution of ΔAIC of the full model.") 
hist(iterated_results_table$p_full, main = "Distribution of p-values of the full model.") 
model_stats_full = data.frame(
deltaAIC = mean(iterated_results_table$ΔAIC_full),
p_value = mean(iterated_results_table$p_full),
R2 = NA
)
model_stats_full %>%
mutate(deltaAIC = round(deltaAIC, digits = 1),
p_value = round(p_value, digits = 3),
R2 = NULL,
evidence = "",
evidence = ifelse(p_value > 0.1,
"none",
evidence),
evidence = ifelse(p_value < 0.1,
"* weak",
evidence),
evidence = ifelse(p_value < 0.05,
"** moderate",
evidence),
evidence = ifelse(p_value < 0.01,
"*** strong",
evidence),
evidence = ifelse(p_value < 0.001,
"**** very strong",
evidence),
p_value = ifelse(p_value < 0.001,
"< 0.001",
p_value)) %>%
print()## deltaAIC p_value evidence
## 1 0.9 0.225 noneClick for which system nr produced which AIC in the full model
iterated_results_table %>%
select(system_nr_isolated_systems,
ΔAIC_full) %>%
arrange(ΔAIC_full)## system_nr_isolated_systems ΔAIC_full
## 1 1058 1062 -0.4481346
## 2 1062 1058 -0.4481346
## 3 1056 1065 -0.4075034
## 4 1065 1056 -0.4075034
## 5 1059 1061 -0.1183263
## 6 1061 1059 -0.1183263
## 7 1057 1062 0.5109625
## 8 1062 1057 0.5109625
## 9 1057 1061 0.5707120
## 10 1061 1057 0.5707120
## 11 1056 1064 0.6454787
## 12 1064 1056 0.6454787
## 13 1059 1060 0.7472458
## 14 1060 1059 0.7472458
## 15 1057 1065 0.7630824
## 16 1065 1057 0.7630824
## 17 1058 1060 0.7757166
## 18 1060 1058 0.7757166
## 19 1056 1063 1.0166883
## 20 1063 1056 1.0166883
## 21 1058 1064 1.1140341
## 22 1064 1058 1.1140341
## 23 1059 1063 1.4921890
## 24 1063 1059 1.4921890
## 25 1060 1065 1.9526951
## 26 1065 1060 1.9526951
## 27 1061 1064 2.0178706
## 28 1064 1061 2.0178706
## 29 1062 1063 2.2088481
## 30 1063 1062 2.2088481
connection)
Click for ΔAIC and p-value dsitributions
hist(iterated_results_table$ΔAIC_fix, main = "Distribution of ΔAIC of the fixed model.") 
hist(iterated_results_table$p_fix, main = "Distribution of p-values of the fixed model.") 
model_stats_fixed = data.frame(
deltaAIC = mean(iterated_results_table$ΔAIC_fix),
p_value = mean(iterated_results_table$p_fix),
R2 = NA
)
model_stats_fixed %>%
mutate(deltaAIC = round(deltaAIC, digits = 1),
p_value = round(p_value, digits = 3),
R2 = NULL,
evidence = "",
evidence = ifelse(p_value > 0.1,
"none",
evidence),
evidence = ifelse(p_value < 0.1,
"* weak",
evidence),
evidence = ifelse(p_value < 0.05,
"** moderate",
evidence),
evidence = ifelse(p_value < 0.01,
"*** strong",
evidence),
evidence = ifelse(p_value < 0.001,
"**** very strong",
evidence),
p_value = ifelse(p_value < 0.001,
"< 0.001",
p_value)) %>%
print()## deltaAIC p_value evidence
## 1 -0.6 0.115 noneresults_table = fill.results.table(
results_table,
response_variable,
metaecosystem_type_i,
model_stats_full,
model_stats_fixed
)Beta (Bray-Curtis)
response_variable = "bray_curtis"metaecosystem_type_i = c("Medium-Medium meta-ecosystem",
"Medium-Medium isolated",
"Small-Large meta-ecosystem",
"Small-Large isolated")plot.metaecos.points(ds_metaecosystems,
metaecosystem_type_i,
response_variable,
3)
Boxplots
plot.metaecos.boxplots(ds_metaecosystems,
metaecosystem_type_i,
response_variable)
Replicates
plot.metaecos.replicates(ds_metaecosystems,
metaecosystem_type_i,
response_variable)
MM vs SL meta-ecosystems
metaecosystem_type_i = c("Medium-Medium meta-ecosystem",
"Small-Large meta-ecosystem")filtered_data = ds_metaecosystems %>%
filter(time_point >= first_time_point_model,
time_point <= last_time_point_model,
metaecosystem_type %in% metaecosystem_type_i)plot.metaecos.points(filtered_data,
metaecosystem_type_i,
response_variable)
null_model = lmer(
get(response_variable) ~
day +
(day | system_nr),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = "Nelder_Mead")
)patch_size_symmetry and
patch_size_symmetry : day)
full_model = lmer(
get(response_variable) ~
day +
patch_size_symmetry +
patch_size_symmetry : day +
(day | system_nr),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = "Nelder_Mead")
)Click for model output
print(summary(full_model), digits = 1)## Linear mixed model fit by maximum likelihood ['lmerMod']
## Formula:
## get(response_variable) ~ day + patch_size_symmetry + patch_size_symmetry:day +
## (day | system_nr)
## Data: filtered_data
## Control: lmerControl(optimizer = "Nelder_Mead")
##
## AIC BIC logLik deviance df.resid
## -63.4 -46.7 39.7 -79.4 52
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.22 -0.58 -0.02 0.47 1.95
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## system_nr (Intercept) 3e-04 0.018
## day 6e-06 0.002 1.00
## Residual 1e-02 0.114
## Number of obs: 60, groups: system_nr, 10
##
## Fixed effects:
## Estimate Std. Error t value
## (Intercept) 0.383 0.059 6.4
## day 0.017 0.003 5.3
## patch_size_symmetrysymmetric 0.009 0.084 0.1
## day:patch_size_symmetrysymmetric -0.013 0.005 -2.9
##
## Correlation of Fixed Effects:
## (Intr) day ptch__
## day -0.828
## ptch_sz_sym -0.707 0.586
## dy:ptch_sz_ 0.586 -0.707 -0.828
## optimizer (Nelder_Mead) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')#Create resid vs fitted
res_vs_fit = filtered_data %>%
mutate(predicted = fitted(full_model),
residuals = resid(full_model)) %>%
plot_ly(x = ~predicted,
y = ~residuals,
type = "scatter",
mode = "markers",
marker = list(size = 5, color = "#4C78A8"),
text = paste(" System nr: ", filtered_data$system_nr, "<br>",
"Day: ", filtered_data$day, "<br>",
"Meta-ecosystem: ", filtered_data$metaecosystem_type, "<br>",
"Tot Biomass: ", round(filtered_data$total_metaecosystem_bioarea_mm2, digits = 0), "<br>"),
hoverinfo = "text") %>%
plotly::layout(
xaxis = list(title = "Fitted Values"),
yaxis = list(title = "Residuals")
)Click for residual plots
res_vs_fitqqnorm(resid(full_model))
model_stats_full = compute.model.stats(full_model,
null_model,
"mixed_model")
model_stats_full %>%
mutate(deltaAIC = round(deltaAIC, digits = 1),
p_value = round(p_value, digits = 3),
R2 = NULL,
evidence = "",
evidence = ifelse(p_value > 0.1,
"none",
evidence),
evidence = ifelse(p_value < 0.1,
"* weak",
evidence),
evidence = ifelse(p_value < 0.05,
"** moderate",
evidence),
evidence = ifelse(p_value < 0.01,
"*** strong",
evidence),
evidence = ifelse(p_value < 0.001,
"**** very strong",
evidence),
p_value = ifelse(p_value < 0.001,
"< 0.001",
p_value)) %>%
print()## deltaAIC p_value evidence
## 1 -8.7 0.002 *** strong
patch_size_symmetry)
reduced_model = lmer(
get(response_variable) ~
day +
patch_size_symmetry +
(day | system_nr),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = "Nelder_Mead")
)Click for model output
print(summary(reduced_model), digits = 1)## Linear mixed model fit by maximum likelihood ['lmerMod']
## Formula: get(response_variable) ~ day + patch_size_symmetry + (day | system_nr)
## Data: filtered_data
## Control: lmerControl(optimizer = "Nelder_Mead")
##
## AIC BIC logLik deviance df.resid
## -58.5 -43.8 36.2 -72.5 53
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.5 -0.7 0.0 0.6 1.9
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## system_nr (Intercept) 1e-03 0.034
## day 3e-05 0.006 -1.00
## Residual 1e-02 0.119
## Number of obs: 60, groups: system_nr, 10
##
## Fixed effects:
## Estimate Std. Error t value
## (Intercept) 0.473 0.050 9
## day 0.011 0.003 4
## patch_size_symmetrysymmetric -0.171 0.045 -4
##
## Correlation of Fixed Effects:
## (Intr) day
## day -0.768
## ptch_sz_sym -0.453 0.000
## optimizer (Nelder_Mead) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')#Create resid vs fitted
res_vs_fit = filtered_data %>%
mutate(predicted = fitted(reduced_model),
residuals = resid(reduced_model)) %>%
plot_ly(x = ~predicted,
y = ~residuals,
type = "scatter",
mode = "markers",
marker = list(size = 5, color = "#4C78A8"),
text = paste(" System nr: ", filtered_data$system_nr, "<br>",
"Day: ", filtered_data$day, "<br>",
"Meta-ecosystem: ", filtered_data$metaecosystem_type, "<br>",
"Tot Biomass: ", round(filtered_data$total_metaecosystem_bioarea_mm2, digits = 0), "<br>"),
hoverinfo = "text") %>%
plotly::layout(
xaxis = list(title = "Fitted Values"),
yaxis = list(title = "Residuals")
)Click for residual plots
res_vs_fitqqnorm(resid(reduced_model))
model_stats_fixed = compute.model.stats(reduced_model,
null_model,
"mixed_model")
model_stats_fixed %>%
mutate(deltaAIC = round(deltaAIC, digits = 1),
p_value = round(p_value, digits = 3),
R2 = NULL,
evidence = "",
evidence = ifelse(p_value > 0.1,
"none",
evidence),
evidence = ifelse(p_value < 0.1,
"* weak",
evidence),
evidence = ifelse(p_value < 0.05,
"** moderate",
evidence),
evidence = ifelse(p_value < 0.01,
"*** strong",
evidence),
evidence = ifelse(p_value < 0.001,
"**** very strong",
evidence),
p_value = ifelse(p_value < 0.001,
"< 0.001",
p_value)) %>%
print()## deltaAIC p_value evidence
## 1 -3.8 0.016 ** moderateresults_table = fill.results.table(
results_table,
response_variable,
metaecosystem_type_i,
model_stats_full,
model_stats_fixed
)SL (meta-ecosystems vs isolated)
metaecosystem_type_i = c("Small-Large meta-ecosystem",
"Small-Large isolated")filtered_data = ds_metaecosystems %>%
filter(time_point >= first_time_point_model,
time_point <= last_time_point_model,
metaecosystem_type %in% metaecosystem_type_i)plot.metaecos.points(filtered_data,
metaecosystem_type_i,
response_variable)
The p-values and ΔAIC of the connection are computed for all possible combinations of the isolated patches, creating a p-value and ΔAIC distributions. We keep as p-value and ΔAIC of the comparison the mean of such distributions.
Click for bootstrapping ΔAIC and p-value
If you see “Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel = ## 1e-15, : unused control arguments ignored”, Ignore it. It just means that you didn’t pass the control argument to the Nelder_Mead optimiser, so it uses the default.
# Compute stats for all patch combinations
isolated_combinations_sets_filtered = isolated_combinations_sets %>%
filter(disturbance == disturbance_global_input,
metaecosystem_type %in% metaecosystem_type_i)
n_sets = isolated_combinations_sets_filtered %>%
pull(set) %>%
max()
iterated_results_table = data.frame(
Response = as.character(NA),
Levels = as.character(NA),
ΔAIC_full = NA,
p_full = NA,
ΔR2_full = NA,
ΔAIC_fix = NA,
p_fix = NA,
ΔR2_fix = NA,
combination_set = NA,
system_nr_isolated_systems = as.character(NA)
) %>%
slice(-1)
for (set_input in 1:n_sets) {
system_nr_isolated_systems_input = isolated_combinations_sets_filtered %>%
filter(
metaecosystem_type %in% metaecosystem_type_i,
connection == "isolated",
set == set_input
) %>%
pull(system_nr)
filtered_data = ds_metaecosystems %>%
filter(
time_point >= first_time_point_model,
time_point <= last_time_point_model,
metaecosystem_type %in% metaecosystem_type_i,
connection == "connected" |
(connection == "isolated" &
system_nr %in% system_nr_isolated_systems_input)
)
null_model = lmer(
get(response_variable) ~
day +
(day | system_nr),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = optimizer_input,
optCtrl = list(method = method_input))
)
full_model = lmer(
get(response_variable) ~
day +
connection +
connection:day +
(day | system_nr),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = optimizer_input,
optCtrl = list(method = method_input))
)
model_stats_full = compute.model.stats(full_model,
null_model,
"mixed_model")
reduced_model = lmer(
get(response_variable) ~
day +
connection +
(day | system_nr),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = optimizer_input,
optCtrl = list(method = method_input))
)
model_stats_fixed = compute.model.stats(reduced_model,
null_model,
"mixed_model")
iterated_results_table = fill.results.table(
iterated_results_table,
response_variable,
metaecosystem_type_i,
model_stats_full,
model_stats_fixed
)
iterated_results_table$set[nrow(iterated_results_table)] = set_input
iterated_results_table$system_nr_isolated_systems[nrow(iterated_results_table)] = paste(system_nr_isolated_systems_input, collapse = " ")
}## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in checkConv(attr(opt, "derivs"), opt$par, ctrl = control$checkConv, :
## Model failed to converge with max|grad| = 0.00397541 (tol = 0.002, component 1)## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in checkConv(attr(opt, "derivs"), opt$par, ctrl = control$checkConv, :
## Model failed to converge with max|grad| = 0.00280091 (tol = 0.002, component 1)## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in checkConv(attr(opt, "derivs"), opt$par, ctrl = control$checkConv, :
## Model failed to converge with max|grad| = 0.00259059 (tol = 0.002, component 1)## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in checkConv(attr(opt, "derivs"), opt$par, ctrl = control$checkConv, :
## Model failed to converge with max|grad| = 0.0111113 (tol = 0.002, component 1)## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in checkConv(attr(opt, "derivs"), opt$par, ctrl = control$checkConv, :
## Model failed to converge with max|grad| = 0.00233093 (tol = 0.002, component 1)## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored
connection and connection : day)
Click for ΔAIC and p-value distributions
hist(iterated_results_table$ΔAIC_full, main = "Distribution of ΔAIC of the full model.") 
hist(iterated_results_table$p_full, main = "Distribution of p-values of the full model.") 
model_stats_full = data.frame(
deltaAIC = mean(iterated_results_table$ΔAIC_full),
p_value = mean(iterated_results_table$p_full),
R2 = NA
)
model_stats_full %>%
mutate(deltaAIC = round(deltaAIC, digits = 1),
p_value = round(p_value, digits = 3),
R2 = NULL,
evidence = "",
evidence = ifelse(p_value > 0.1,
"none",
evidence),
evidence = ifelse(p_value < 0.1,
"* weak",
evidence),
evidence = ifelse(p_value < 0.05,
"** moderate",
evidence),
evidence = ifelse(p_value < 0.01,
"*** strong",
evidence),
evidence = ifelse(p_value < 0.001,
"**** very strong",
evidence),
p_value = ifelse(p_value < 0.001,
"< 0.001",
p_value)) %>%
print()## deltaAIC p_value evidence
## 1 -3.3 0.027 ** moderateClick for which system nr produced which AIC in the full model
iterated_results_table %>%
select(system_nr_isolated_systems,
ΔAIC_full) %>%
arrange(ΔAIC_full)## system_nr_isolated_systems ΔAIC_full
## 1 1027 1033 1040 1044 -5.131031
## 2 1027 1034 1040 1043 -4.977195
## 3 1027 1034 1040 1041 -4.905636
## 4 1027 1031 1040 1044 -4.812797
## 5 1027 1033 1040 1041 -4.717979
## 6 1027 1034 1038 1041 -4.715167
## 7 1027 1034 1036 1045 -4.670136
## 8 1027 1035 1036 1044 -4.662253
## 9 1027 1033 1036 1044 -4.637807
## 10 1027 1034 1036 1043 -4.554477
## 11 1027 1031 1040 1043 -4.474211
## 12 1027 1033 1036 1045 -4.436319
## 13 1027 1033 1039 1045 -4.344398
## 14 1027 1035 1036 1043 -4.315984
## 15 1027 1035 1039 1043 -4.204646
## 16 1027 1035 1039 1041 -4.145796
## 17 1029 1032 1040 1043 -4.133475
## 18 1027 1033 1039 1041 -4.119206
## 19 1029 1032 1040 1041 -4.099971
## 20 1027 1031 1039 1045 -4.065356
## 21 1030 1032 1036 1044 -4.000025
## 22 1029 1033 1040 1041 -3.923811
## 23 1027 1031 1039 1043 -3.877826
## 24 1027 1035 1038 1044 -3.850639
## 25 1029 1032 1036 1045 -3.837177
## 26 1027 1034 1038 1045 -3.836793
## 27 1030 1033 1036 1044 -3.794418
## 28 1029 1031 1040 1043 -3.701014
## 29 1030 1032 1036 1043 -3.683937
## 30 1029 1032 1036 1043 -3.683740
## 31 1028 1032 1040 1044 -3.674511
## 32 1026 1032 1040 1044 -3.632629
## 33 1030 1034 1036 1043 -3.631710
## 34 1030 1032 1039 1043 -3.628881
## 35 1030 1032 1039 1041 -3.617396
## 36 1029 1033 1036 1045 -3.600168
## 37 1026 1033 1040 1044 -3.551073
## 38 1027 1031 1038 1044 -3.539664
## 39 1029 1033 1040 1042 -3.533412
## 40 1027 1035 1038 1041 -3.502220
## 41 1030 1033 1039 1041 -3.479676
## 42 1027 1031 1038 1045 -3.456072
## 43 1029 1035 1036 1043 -3.452945
## 44 1028 1031 1040 1044 -3.447980
## 45 1028 1032 1040 1041 -3.429058
## 46 1028 1034 1040 1041 -3.411945
## 47 1029 1031 1040 1042 -3.403523
## 48 1030 1033 1037 1044 -3.385498
## 49 1026 1032 1040 1043 -3.358420
## 50 1026 1034 1040 1043 -3.345094
## 51 1030 1032 1038 1044 -3.325410
## 52 1030 1031 1037 1044 -3.313350
## 53 1030 1031 1039 1043 -3.283020
## 54 1030 1034 1036 1042 -3.209263
## 55 1030 1034 1037 1041 -3.195463
## 56 1030 1033 1037 1041 -3.186302
## 57 1030 1033 1039 1042 -3.160470
## 58 1030 1033 1036 1042 -3.159552
## 59 1030 1034 1037 1043 -3.155227
## 60 1029 1032 1038 1045 -3.154626
## 61 1029 1033 1037 1045 -3.153191
## 62 1028 1034 1040 1042 -3.143799
## 63 1028 1031 1040 1042 -3.140252
## 64 1026 1033 1040 1042 -3.138249
## 65 1028 1032 1036 1044 -3.137845
## 66 1028 1032 1036 1045 -3.104180
## 67 1026 1034 1040 1042 -3.104065
## 68 1030 1031 1037 1043 -3.085122
## 69 1028 1035 1036 1044 -3.082182
## 70 1028 1032 1039 1045 -3.079951
## 71 1029 1031 1037 1045 -3.079872
## 72 1028 1034 1036 1045 -3.071368
## 73 1030 1031 1038 1044 -3.071277
## 74 1030 1031 1039 1042 -3.066697
## 75 1030 1032 1038 1041 -3.054198
## 76 1026 1032 1039 1045 -3.042656
## 77 1030 1034 1038 1041 -3.017531
## 78 1029 1035 1036 1042 -3.005537
## 79 1029 1035 1037 1041 -2.997568
## 80 1026 1033 1039 1045 -2.978107
## 81 1029 1033 1036 1042 -2.977804
## 82 1029 1035 1037 1043 -2.972028
## 83 1029 1032 1038 1041 -2.943027
## 84 1029 1033 1037 1041 -2.938318
## 85 1028 1031 1039 1045 -2.903679
## 86 1029 1031 1038 1045 -2.859475
## 87 1028 1035 1039 1041 -2.856092
## 88 1028 1032 1039 1041 -2.854888
## 89 1028 1031 1037 1045 -2.854281
## 90 1029 1035 1038 1041 -2.838835
## 91 1029 1031 1037 1043 -2.828815
## 92 1028 1035 1037 1044 -2.819852
## 93 1026 1032 1039 1043 -2.806642
## 94 1026 1033 1037 1045 -2.804241
## 95 1028 1034 1037 1045 -2.795984
## 96 1026 1035 1039 1043 -2.785781
## 97 1026 1035 1037 1044 -2.780723
## 98 1026 1034 1037 1045 -2.754030
## 99 1028 1031 1037 1044 -2.727819
## 100 1030 1034 1038 1042 -2.713690
## 101 1026 1033 1037 1044 -2.711566
## 102 1028 1035 1037 1041 -2.699511
## 103 1030 1031 1038 1042 -2.677046
## 104 1028 1035 1039 1042 -2.634773
## 105 1028 1035 1036 1042 -2.620015
## 106 1026 1035 1039 1042 -2.598459
## 107 1028 1034 1037 1041 -2.577819
## 108 1026 1035 1037 1043 -2.575947
## 109 1028 1034 1036 1042 -2.568613
## 110 1026 1032 1038 1045 -2.565685
## 111 1026 1035 1038 1044 -2.556292
## 112 1026 1032 1038 1044 -2.551427
## 113 1028 1031 1039 1042 -2.549840
## 114 1026 1033 1039 1042 -2.545385
## 115 1026 1034 1038 1045 -2.536037
## 116 1029 1035 1038 1042 -2.516755
## 117 1026 1034 1037 1043 -2.480185
## 118 1029 1031 1038 1042 -2.399991
## 119 1026 1035 1038 1042 -2.226465
## 120 1026 1034 1038 1042 -2.125076
connection)
Click for ΔAIC and p-value dsitributions
hist(iterated_results_table$ΔAIC_fix, main = "Distribution of ΔAIC of the fixed model.") 
hist(iterated_results_table$p_fix, main = "Distribution of p-values of the fixed model.") 
model_stats_fixed = data.frame(
deltaAIC = mean(iterated_results_table$ΔAIC_fix),
p_value = mean(iterated_results_table$p_fix),
R2 = NA
)
model_stats_fixed %>%
mutate(deltaAIC = round(deltaAIC, digits = 1),
p_value = round(p_value, digits = 3),
R2 = NULL,
evidence = "",
evidence = ifelse(p_value > 0.1,
"none",
evidence),
evidence = ifelse(p_value < 0.1,
"* weak",
evidence),
evidence = ifelse(p_value < 0.05,
"** moderate",
evidence),
evidence = ifelse(p_value < 0.01,
"*** strong",
evidence),
evidence = ifelse(p_value < 0.001,
"**** very strong",
evidence),
p_value = ifelse(p_value < 0.001,
"< 0.001",
p_value)) %>%
print()## deltaAIC p_value evidence
## 1 -4.6 0.012 ** moderateresults_table = fill.results.table(
results_table,
response_variable,
metaecosystem_type_i,
model_stats_full,
model_stats_fixed
)MM (meta-ecosystems vs isolated)
metaecosystem_type_i = c("Medium-Medium meta-ecosystem",
"Medium-Medium isolated")filtered_data = ds_metaecosystems %>%
filter(time_point >= first_time_point_model,
time_point <= last_time_point_model,
metaecosystem_type %in% metaecosystem_type_i)plot.metaecos.points(filtered_data,
metaecosystem_type_i,
response_variable)
The p-values and ΔAIC of the connection are computed for all possible combinations of the isolated patches, creating a p-value and ΔAIC distributions. We keep as p-value and ΔAIC of the comparison the mean of such distributions.
Click for bootstrapping ΔAIC and p-value
If you see “Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel = ## 1e-15, : unused control arguments ignored”, Ignore it. It just means that you didn’t pass the control argument to the Nelder_Mead optimiser, so it uses the default.
# Compute stats for all patch combinations
isolated_combinations_sets_filtered = isolated_combinations_sets %>%
filter(disturbance == disturbance_global_input,
metaecosystem_type %in% metaecosystem_type_i)
n_sets = isolated_combinations_sets_filtered %>%
pull(set) %>%
max()
iterated_results_table = data.frame(
Response = as.character(NA),
Levels = as.character(NA),
ΔAIC_full = NA,
p_full = NA,
ΔR2_full = NA,
ΔAIC_fix = NA,
p_fix = NA,
ΔR2_fix = NA,
combination_set = NA,
system_nr_isolated_systems = as.character(NA)
) %>%
slice(-1)
for (set_input in 1:n_sets) {
system_nr_isolated_systems_input = isolated_combinations_sets_filtered %>%
filter(
metaecosystem_type %in% metaecosystem_type_i,
connection == "isolated",
set == set_input
) %>%
pull(system_nr)
filtered_data = ds_metaecosystems %>%
filter(
time_point >= first_time_point_model,
time_point <= last_time_point_model,
metaecosystem_type %in% metaecosystem_type_i,
connection == "connected" |
(connection == "isolated" &
system_nr %in% system_nr_isolated_systems_input)
)
null_model = lmer(
get(response_variable) ~
day +
(day | system_nr),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = optimizer_input,
optCtrl = list(method = method_input))
)
full_model = lmer(
get(response_variable) ~
day +
connection +
connection:day +
(day | system_nr),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = optimizer_input,
optCtrl = list(method = method_input))
)
model_stats_full = compute.model.stats(full_model,
null_model,
"mixed_model")
reduced_model = lmer(
get(response_variable) ~
day +
connection +
(day | system_nr),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = optimizer_input,
optCtrl = list(method = method_input))
)
model_stats_fixed = compute.model.stats(reduced_model,
null_model,
"mixed_model")
iterated_results_table = fill.results.table(
iterated_results_table,
response_variable,
metaecosystem_type_i,
model_stats_full,
model_stats_fixed
)
iterated_results_table$set[nrow(iterated_results_table)] = set_input
iterated_results_table$system_nr_isolated_systems[nrow(iterated_results_table)] = paste(system_nr_isolated_systems_input, collapse = " ")
}## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in checkConv(attr(opt, "derivs"), opt$par, ctrl = control$checkConv, :
## Model failed to converge with max|grad| = 0.00222507 (tol = 0.002, component 1)## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in checkConv(attr(opt, "derivs"), opt$par, ctrl = control$checkConv, :
## Model failed to converge with max|grad| = 0.00222133 (tol = 0.002, component 1)## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in checkConv(attr(opt, "derivs"), opt$par, ctrl = control$checkConv, :
## Model failed to converge with max|grad| = 0.00222507 (tol = 0.002, component 1)## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in checkConv(attr(opt, "derivs"), opt$par, ctrl = control$checkConv, :
## Model failed to converge with max|grad| = 0.00222133 (tol = 0.002, component 1)## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored
connection and connection : day)
Click for ΔAIC and p-value distributions
hist(iterated_results_table$ΔAIC_full, main = "Distribution of ΔAIC of the full model.") 
hist(iterated_results_table$p_full, main = "Distribution of p-values of the full model.") 
model_stats_full = data.frame(
deltaAIC = mean(iterated_results_table$ΔAIC_full),
p_value = mean(iterated_results_table$p_full),
R2 = NA
)
model_stats_full %>%
mutate(deltaAIC = round(deltaAIC, digits = 1),
p_value = round(p_value, digits = 3),
R2 = NULL,
evidence = "",
evidence = ifelse(p_value > 0.1,
"none",
evidence),
evidence = ifelse(p_value < 0.1,
"* weak",
evidence),
evidence = ifelse(p_value < 0.05,
"** moderate",
evidence),
evidence = ifelse(p_value < 0.01,
"*** strong",
evidence),
evidence = ifelse(p_value < 0.001,
"**** very strong",
evidence),
p_value = ifelse(p_value < 0.001,
"< 0.001",
p_value)) %>%
print()## deltaAIC p_value evidence
## 1 2.1 0.469 noneClick for which system nr produced which AIC in the full model
iterated_results_table %>%
select(system_nr_isolated_systems,
ΔAIC_full) %>%
arrange(ΔAIC_full)## system_nr_isolated_systems ΔAIC_full
## 1 1059 1061 -2.1634950
## 2 1061 1059 -2.1634950
## 3 1061 1064 0.3104198
## 4 1064 1061 0.3104198
## 5 1058 1062 0.6299275
## 6 1062 1058 0.6299275
## 7 1058 1064 1.4703315
## 8 1064 1058 1.4703315
## 9 1059 1060 1.8363618
## 10 1060 1059 1.8363618
## 11 1056 1065 2.3113527
## 12 1065 1056 2.3113527
## 13 1056 1064 2.4258678
## 14 1064 1056 2.4258678
## 15 1057 1062 2.8145259
## 16 1062 1057 2.8145259
## 17 1059 1063 2.9451644
## 18 1063 1059 2.9451644
## 19 1058 1060 2.9492200
## 20 1060 1058 2.9492200
## 21 1057 1061 2.9921157
## 22 1061 1057 2.9921157
## 23 1062 1063 3.0082645
## 24 1063 1062 3.0082645
## 25 1060 1065 3.1739693
## 26 1065 1060 3.1739693
## 27 1056 1063 3.3683048
## 28 1063 1056 3.3683048
## 29 1057 1065 3.5740379
## 30 1065 1057 3.5740379
connection)
Click for ΔAIC and p-value dsitributions
hist(iterated_results_table$ΔAIC_fix, main = "Distribution of ΔAIC of the fixed model.") 
hist(iterated_results_table$p_fix, main = "Distribution of p-values of the fixed model.") 
model_stats_fixed = data.frame(
deltaAIC = mean(iterated_results_table$ΔAIC_fix),
p_value = mean(iterated_results_table$p_fix),
R2 = NA
)
model_stats_fixed %>%
mutate(deltaAIC = round(deltaAIC, digits = 1),
p_value = round(p_value, digits = 3),
R2 = NULL,
evidence = "",
evidence = ifelse(p_value > 0.1,
"none",
evidence),
evidence = ifelse(p_value < 0.1,
"* weak",
evidence),
evidence = ifelse(p_value < 0.05,
"** moderate",
evidence),
evidence = ifelse(p_value < 0.01,
"*** strong",
evidence),
evidence = ifelse(p_value < 0.001,
"**** very strong",
evidence),
p_value = ifelse(p_value < 0.001,
"< 0.001",
p_value)) %>%
print()## deltaAIC p_value evidence
## 1 0.7 0.333 noneresults_table = fill.results.table(
results_table,
response_variable,
metaecosystem_type_i,
model_stats_full,
model_stats_fixed
)Gamma (regional richness)
response_variable = "metaecosystem_richness"metaecosystem_type_i = c("Medium-Medium meta-ecosystem",
"Medium-Medium isolated",
"Small-Large meta-ecosystem",
"Small-Large isolated")plot.metaecos.points(ds_metaecosystems,
metaecosystem_type_i,
response_variable,
3)
Boxplots
plot.metaecos.boxplots(ds_metaecosystems,
metaecosystem_type_i,
response_variable)
Replicates
plot.metaecos.replicates(ds_metaecosystems,
metaecosystem_type_i,
response_variable)
MM vs SL meta-ecosystems
metaecosystem_type_i = c("Medium-Medium meta-ecosystem",
"Small-Large meta-ecosystem")filtered_data = ds_metaecosystems %>%
filter(time_point >= first_time_point_model,
time_point <= last_time_point_model,
metaecosystem_type %in% metaecosystem_type_i)plot.metaecos.points(filtered_data,
metaecosystem_type_i,
response_variable)
null_model = lmer(
get(response_variable) ~
day +
(day | system_nr),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = "Nelder_Mead")
)patch_size_symmetry and
patch_size_symmetry : day)
full_model = lmer(
get(response_variable) ~
day +
patch_size_symmetry +
patch_size_symmetry : day +
(day | system_nr),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = "Nelder_Mead")
)Click for model output
print(summary(full_model), digits = 1)## Linear mixed model fit by maximum likelihood ['lmerMod']
## Formula:
## get(response_variable) ~ day + patch_size_symmetry + patch_size_symmetry:day +
## (day | system_nr)
## Data: filtered_data
## Control: lmerControl(optimizer = "Nelder_Mead")
##
## AIC BIC logLik deviance df.resid
## 189.4 206.1 -86.7 173.4 52
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -1.92 -0.75 0.05 0.77 2.33
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## system_nr (Intercept) 0.236 0.49
## day 0.002 0.04 -1.00
## Residual 0.947 0.97
## Number of obs: 60, groups: system_nr, 10
##
## Fixed effects:
## Estimate Std. Error t value
## (Intercept) 8.276 0.546 15.2
## day -0.086 0.032 -2.7
## patch_size_symmetrysymmetric 0.838 0.772 1.1
## day:patch_size_symmetrysymmetric 0.007 0.045 0.2
##
## Correlation of Fixed Effects:
## (Intr) day ptch__
## day -0.931
## ptch_sz_sym -0.707 0.658
## dy:ptch_sz_ 0.658 -0.707 -0.931
## optimizer (Nelder_Mead) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')#Create resid vs fitted
res_vs_fit = filtered_data %>%
mutate(predicted = fitted(full_model),
residuals = resid(full_model)) %>%
plot_ly(x = ~predicted,
y = ~residuals,
type = "scatter",
mode = "markers",
marker = list(size = 5, color = "#4C78A8"),
text = paste(" System nr: ", filtered_data$system_nr, "<br>",
"Day: ", filtered_data$day, "<br>",
"Meta-ecosystem: ", filtered_data$metaecosystem_type, "<br>",
"Tot Biomass: ", round(filtered_data$total_metaecosystem_bioarea_mm2, digits = 0), "<br>"),
hoverinfo = "text") %>%
plotly::layout(
xaxis = list(title = "Fitted Values"),
yaxis = list(title = "Residuals")
)Click for residual plots
res_vs_fitqqnorm(resid(full_model))
model_stats_full = compute.model.stats(full_model,
null_model,
"mixed_model")
model_stats_full %>%
mutate(deltaAIC = round(deltaAIC, digits = 1),
p_value = round(p_value, digits = 3),
R2 = NULL,
evidence = "",
evidence = ifelse(p_value > 0.1,
"none",
evidence),
evidence = ifelse(p_value < 0.1,
"* weak",
evidence),
evidence = ifelse(p_value < 0.05,
"** moderate",
evidence),
evidence = ifelse(p_value < 0.01,
"*** strong",
evidence),
evidence = ifelse(p_value < 0.001,
"**** very strong",
evidence),
p_value = ifelse(p_value < 0.001,
"< 0.001",
p_value)) %>%
print()## deltaAIC p_value evidence
## 1 -4.5 0.014 ** moderate
patch_size_symmetry)
reduced_model = lmer(
get(response_variable) ~
day +
patch_size_symmetry +
(day | system_nr),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = "Nelder_Mead")
)Click for model output
print(summary(reduced_model), digits = 1)## Linear mixed model fit by maximum likelihood ['lmerMod']
## Formula: get(response_variable) ~ day + patch_size_symmetry + (day | system_nr)
## Data: filtered_data
## Control: lmerControl(optimizer = "Nelder_Mead")
##
## AIC BIC logLik deviance df.resid
## 187.4 202.1 -86.7 173.4 53
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -1.91 -0.75 0.06 0.79 2.36
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## system_nr (Intercept) 0.238 0.49
## day 0.002 0.04 -1.00
## Residual 0.947 0.97
## Number of obs: 60, groups: system_nr, 10
##
## Fixed effects:
## Estimate Std. Error t value
## (Intercept) 8.22 0.41 20
## day -0.08 0.02 -4
## patch_size_symmetrysymmetric 0.95 0.28 3
##
## Correlation of Fixed Effects:
## (Intr) day
## day -0.874
## ptch_sz_sym -0.343 0.000
## optimizer (Nelder_Mead) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')#Create resid vs fitted
res_vs_fit = filtered_data %>%
mutate(predicted = fitted(reduced_model),
residuals = resid(reduced_model)) %>%
plot_ly(x = ~predicted,
y = ~residuals,
type = "scatter",
mode = "markers",
marker = list(size = 5, color = "#4C78A8"),
text = paste(" System nr: ", filtered_data$system_nr, "<br>",
"Day: ", filtered_data$day, "<br>",
"Meta-ecosystem: ", filtered_data$metaecosystem_type, "<br>",
"Tot Biomass: ", round(filtered_data$total_metaecosystem_bioarea_mm2, digits = 0), "<br>"),
hoverinfo = "text") %>%
plotly::layout(
xaxis = list(title = "Fitted Values"),
yaxis = list(title = "Residuals")
)Click for residual plots
res_vs_fitqqnorm(resid(reduced_model))
model_stats_fixed = compute.model.stats(reduced_model,
null_model,
"mixed_model")
model_stats_fixed %>%
mutate(deltaAIC = round(deltaAIC, digits = 1),
p_value = round(p_value, digits = 3),
R2 = NULL,
evidence = "",
evidence = ifelse(p_value > 0.1,
"none",
evidence),
evidence = ifelse(p_value < 0.1,
"* weak",
evidence),
evidence = ifelse(p_value < 0.05,
"** moderate",
evidence),
evidence = ifelse(p_value < 0.01,
"*** strong",
evidence),
evidence = ifelse(p_value < 0.001,
"**** very strong",
evidence),
p_value = ifelse(p_value < 0.001,
"< 0.001",
p_value)) %>%
print()## deltaAIC p_value evidence
## 1 -6.5 0.004 *** strongresults_table = fill.results.table(
results_table,
response_variable,
metaecosystem_type_i,
model_stats_full,
model_stats_fixed
)SL (meta-ecosystems vs isolated)
metaecosystem_type_i = c("Small-Large meta-ecosystem",
"Small-Large isolated")filtered_data = ds_metaecosystems %>%
filter(time_point >= first_time_point_model,
time_point <= last_time_point_model,
metaecosystem_type %in% metaecosystem_type_i)plot.metaecos.points(filtered_data,
metaecosystem_type_i,
response_variable)
The p-values and ΔAIC of the connection are computed for all possible combinations of the isolated patches, creating a p-value and ΔAIC distributions. We keep as p-value and ΔAIC of the comparison the mean of such distributions.
Click for bootstrapping ΔAIC and p-value
If you see “Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel = ## 1e-15, : unused control arguments ignored”, Ignore it. It just means that you didn’t pass the control argument to the Nelder_Mead optimiser, so it uses the default.
# Compute stats for all patch combinations
isolated_combinations_sets_filtered = isolated_combinations_sets %>%
filter(disturbance == disturbance_global_input,
metaecosystem_type %in% metaecosystem_type_i)
n_sets = isolated_combinations_sets_filtered %>%
pull(set) %>%
max()
iterated_results_table = data.frame(
Response = as.character(NA),
Levels = as.character(NA),
ΔAIC_full = NA,
p_full = NA,
ΔR2_full = NA,
ΔAIC_fix = NA,
p_fix = NA,
ΔR2_fix = NA,
combination_set = NA,
system_nr_isolated_systems = as.character(NA)
) %>%
slice(-1)
for (set_input in 1:n_sets) {
system_nr_isolated_systems_input = isolated_combinations_sets_filtered %>%
filter(
metaecosystem_type %in% metaecosystem_type_i,
connection == "isolated",
set == set_input
) %>%
pull(system_nr)
filtered_data = ds_metaecosystems %>%
filter(
time_point >= first_time_point_model,
time_point <= last_time_point_model,
metaecosystem_type %in% metaecosystem_type_i,
connection == "connected" |
(connection == "isolated" &
system_nr %in% system_nr_isolated_systems_input)
)
null_model = lmer(
get(response_variable) ~
day +
(day | system_nr),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = optimizer_input,
optCtrl = list(method = method_input))
)
full_model = lmer(
get(response_variable) ~
day +
connection +
connection:day +
(day | system_nr),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = optimizer_input,
optCtrl = list(method = method_input))
)
model_stats_full = compute.model.stats(full_model,
null_model,
"mixed_model")
reduced_model = lmer(
get(response_variable) ~
day +
connection +
(day | system_nr),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = optimizer_input,
optCtrl = list(method = method_input))
)
model_stats_fixed = compute.model.stats(reduced_model,
null_model,
"mixed_model")
iterated_results_table = fill.results.table(
iterated_results_table,
response_variable,
metaecosystem_type_i,
model_stats_full,
model_stats_fixed
)
iterated_results_table$set[nrow(iterated_results_table)] = set_input
iterated_results_table$system_nr_isolated_systems[nrow(iterated_results_table)] = paste(system_nr_isolated_systems_input, collapse = " ")
}## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored
connection and connection : day)
Click for ΔAIC and p-value distributions
hist(iterated_results_table$ΔAIC_full, main = "Distribution of ΔAIC of the full model.") 
hist(iterated_results_table$p_full, main = "Distribution of p-values of the full model.") 
model_stats_full = data.frame(
deltaAIC = mean(iterated_results_table$ΔAIC_full),
p_value = mean(iterated_results_table$p_full),
R2 = NA
)
model_stats_full %>%
mutate(deltaAIC = round(deltaAIC, digits = 1),
p_value = round(p_value, digits = 3),
R2 = NULL,
evidence = "",
evidence = ifelse(p_value > 0.1,
"none",
evidence),
evidence = ifelse(p_value < 0.1,
"* weak",
evidence),
evidence = ifelse(p_value < 0.05,
"** moderate",
evidence),
evidence = ifelse(p_value < 0.01,
"*** strong",
evidence),
evidence = ifelse(p_value < 0.001,
"**** very strong",
evidence),
p_value = ifelse(p_value < 0.001,
"< 0.001",
p_value)) %>%
print()## deltaAIC p_value evidence
## 1 2.2 0.449 noneClick for which system nr produced which AIC in the full model
iterated_results_table %>%
select(system_nr_isolated_systems,
ΔAIC_full) %>%
arrange(ΔAIC_full)## system_nr_isolated_systems ΔAIC_full
## 1 1027 1031 1040 1043 0.1184054
## 2 1026 1032 1040 1043 0.4857987
## 3 1030 1032 1036 1043 0.5916539
## 4 1027 1035 1036 1043 0.5916539
## 5 1027 1033 1036 1045 0.6185128
## 6 1027 1033 1040 1041 0.6262096
## 7 1026 1035 1037 1043 0.8013854
## 8 1027 1031 1038 1045 0.8028149
## 9 1030 1031 1037 1043 0.8234183
## 10 1028 1032 1036 1045 0.8765712
## 11 1028 1032 1040 1041 0.9116171
## 12 1026 1033 1037 1045 0.9247340
## 13 1028 1031 1037 1045 0.9435650
## 14 1026 1032 1038 1045 0.9707246
## 15 1028 1031 1040 1042 1.0032662
## 16 1026 1033 1040 1042 1.0124658
## 17 1026 1035 1038 1042 1.0483023
## 18 1028 1035 1037 1041 1.0531285
## 19 1027 1035 1038 1041 1.1313847
## 20 1030 1032 1038 1041 1.1313847
## 21 1030 1031 1038 1042 1.1415923
## 22 1030 1033 1037 1041 1.1415923
## 23 1028 1035 1036 1042 1.1817598
## 24 1030 1033 1036 1042 1.2068920
## 25 1029 1031 1040 1043 1.4738514
## 26 1026 1033 1040 1044 1.6449245
## 27 1028 1031 1040 1044 1.6888776
## 28 1029 1033 1036 1045 1.6953488
## 29 1029 1035 1036 1043 1.6965544
## 30 1026 1035 1038 1044 1.7039081
## 31 1029 1033 1040 1041 1.7112135
## 32 1029 1031 1038 1045 1.7171764
## 33 1030 1033 1036 1044 1.7401448
## 34 1030 1031 1038 1044 1.7500094
## 35 1027 1033 1036 1044 1.7719847
## 36 1029 1032 1036 1043 1.8089431
## 37 1029 1035 1038 1041 1.8187599
## 38 1028 1035 1036 1044 1.8392635
## 39 1027 1031 1039 1043 1.8578998
## 40 1026 1034 1038 1045 1.9171187
## 41 1030 1031 1039 1043 1.9248196
## 42 1026 1034 1040 1043 1.9751176
## 43 1026 1035 1039 1043 2.0164777
## 44 1027 1031 1038 1044 2.0304657
## 45 1026 1033 1039 1045 2.0546512
## 46 1028 1032 1036 1044 2.0694046
## 47 1030 1034 1038 1041 2.0694600
## 48 1030 1034 1036 1043 2.0904245
## 49 1028 1031 1039 1045 2.0907961
## 50 1028 1034 1036 1045 2.1082731
## 51 1030 1033 1039 1041 2.1379006
## 52 1028 1034 1040 1041 2.1437119
## 53 1029 1031 1037 1043 2.1498037
## 54 1027 1033 1040 1044 2.1523181
## 55 1026 1032 1039 1043 2.1720464
## 56 1029 1032 1040 1043 2.1774126
## 57 1027 1033 1039 1041 2.1984253
## 58 1026 1033 1037 1044 2.2119163
## 59 1026 1032 1038 1044 2.2222913
## 60 1028 1035 1039 1041 2.2389915
## 61 1029 1033 1036 1042 2.2627048
## 62 1027 1034 1036 1043 2.2640377
## 63 1029 1032 1038 1041 2.2653341
## 64 1028 1031 1037 1044 2.2727205
## 65 1029 1031 1038 1042 2.2920731
## 66 1029 1033 1037 1041 2.2920731
## 67 1026 1034 1037 1043 2.4002606
## 68 1026 1034 1038 1042 2.4401378
## 69 1028 1032 1039 1041 2.4419863
## 70 1028 1032 1040 1044 2.4485679
## 71 1028 1034 1037 1041 2.5024721
## 72 1027 1033 1039 1045 2.5293857
## 73 1026 1033 1039 1042 2.5511370
## 74 1027 1035 1039 1043 2.5643376
## 75 1030 1032 1039 1043 2.5643376
## 76 1028 1031 1039 1042 2.5780819
## 77 1027 1034 1038 1041 2.5811953
## 78 1027 1034 1040 1043 2.5913595
## 79 1028 1034 1036 1042 2.6035722
## 80 1029 1032 1038 1045 2.6456581
## 81 1029 1033 1040 1042 2.6577686
## 82 1029 1035 1037 1043 2.6591291
## 83 1030 1032 1038 1044 2.6712469
## 84 1027 1035 1038 1044 2.6712469
## 85 1029 1033 1037 1045 2.6896263
## 86 1030 1033 1037 1044 2.7148934
## 87 1028 1035 1037 1044 2.7328657
## 88 1029 1035 1038 1042 2.7658189
## 89 1028 1032 1039 1045 2.7744574
## 90 1028 1034 1037 1045 2.8568194
## 91 1030 1034 1037 1043 2.8772512
## 92 1030 1034 1038 1042 2.9228228
## 93 1027 1034 1038 1045 2.9266862
## 94 1030 1033 1039 1042 2.9600778
## 95 1028 1034 1040 1042 2.9759999
## 96 1028 1035 1039 1042 3.0345699
## 97 1027 1031 1040 1044 3.0487703
## 98 1026 1034 1037 1045 3.2227518
## 99 1026 1035 1037 1044 3.2254653
## 100 1026 1032 1040 1044 3.2793631
## 101 1029 1032 1040 1041 3.3026595
## 102 1029 1032 1036 1045 3.3026595
## 103 1027 1031 1039 1045 3.3100834
## 104 1027 1035 1036 1044 3.3277203
## 105 1030 1032 1036 1044 3.3277203
## 106 1029 1035 1037 1041 3.3536689
## 107 1029 1031 1037 1045 3.3754843
## 108 1030 1034 1037 1041 3.3859468
## 109 1030 1031 1037 1044 3.3985584
## 110 1029 1031 1040 1042 3.4247298
## 111 1026 1032 1039 1045 3.4830031
## 112 1026 1034 1040 1042 3.4877050
## 113 1029 1035 1036 1042 3.5066722
## 114 1026 1035 1039 1042 3.5081735
## 115 1027 1034 1036 1045 3.5265898
## 116 1030 1032 1039 1041 3.5265898
## 117 1027 1035 1039 1041 3.5265898
## 118 1027 1034 1040 1041 3.5265898
## 119 1030 1031 1039 1042 3.5793863
## 120 1030 1034 1036 1042 3.5994587
connection)
Click for ΔAIC and p-value dsitributions
hist(iterated_results_table$ΔAIC_fix, main = "Distribution of ΔAIC of the fixed model.") 
hist(iterated_results_table$p_fix, main = "Distribution of p-values of the fixed model.") 
model_stats_fixed = data.frame(
deltaAIC = mean(iterated_results_table$ΔAIC_fix),
p_value = mean(iterated_results_table$p_fix),
R2 = NA
)
model_stats_fixed %>%
mutate(deltaAIC = round(deltaAIC, digits = 1),
p_value = round(p_value, digits = 3),
R2 = NULL,
evidence = "",
evidence = ifelse(p_value > 0.1,
"none",
evidence),
evidence = ifelse(p_value < 0.1,
"* weak",
evidence),
evidence = ifelse(p_value < 0.05,
"** moderate",
evidence),
evidence = ifelse(p_value < 0.01,
"*** strong",
evidence),
evidence = ifelse(p_value < 0.001,
"**** very strong",
evidence),
p_value = ifelse(p_value < 0.001,
"< 0.001",
p_value)) %>%
print()## deltaAIC p_value evidence
## 1 0.7 0.318 noneresults_table = fill.results.table(
results_table,
response_variable,
metaecosystem_type_i,
model_stats_full,
model_stats_fixed
)MM (meta-ecosystems vs isolated)
metaecosystem_type_i = c("Medium-Medium meta-ecosystem",
"Medium-Medium isolated")filtered_data = ds_metaecosystems %>%
filter(time_point >= first_time_point_model,
time_point <= last_time_point_model,
metaecosystem_type %in% metaecosystem_type_i)plot.metaecos.points(filtered_data,
metaecosystem_type_i,
response_variable)
The p-values and ΔAIC of the connection are computed for all possible combinations of the isolated patches, creating a p-value and ΔAIC distributions. We keep as p-value and ΔAIC of the comparison the mean of such distributions.
Click for bootstrapping ΔAIC and p-value
If you see “Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel = ## 1e-15, : unused control arguments ignored”, Ignore it. It just means that you didn’t pass the control argument to the Nelder_Mead optimiser, so it uses the default.
# Compute stats for all patch combinations
isolated_combinations_sets_filtered = isolated_combinations_sets %>%
filter(disturbance == disturbance_global_input,
metaecosystem_type %in% metaecosystem_type_i)
n_sets = isolated_combinations_sets_filtered %>%
pull(set) %>%
max()
iterated_results_table = data.frame(
Response = as.character(NA),
Levels = as.character(NA),
ΔAIC_full = NA,
p_full = NA,
ΔR2_full = NA,
ΔAIC_fix = NA,
p_fix = NA,
ΔR2_fix = NA,
combination_set = NA,
system_nr_isolated_systems = as.character(NA)
) %>%
slice(-1)
for (set_input in 1:n_sets) {
system_nr_isolated_systems_input = isolated_combinations_sets_filtered %>%
filter(
metaecosystem_type %in% metaecosystem_type_i,
connection == "isolated",
set == set_input
) %>%
pull(system_nr)
filtered_data = ds_metaecosystems %>%
filter(
time_point >= first_time_point_model,
time_point <= last_time_point_model,
metaecosystem_type %in% metaecosystem_type_i,
connection == "connected" |
(connection == "isolated" &
system_nr %in% system_nr_isolated_systems_input)
)
null_model = lmer(
get(response_variable) ~
day +
(day | system_nr),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = optimizer_input,
optCtrl = list(method = method_input))
)
full_model = lmer(
get(response_variable) ~
day +
connection +
connection:day +
(day | system_nr),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = optimizer_input,
optCtrl = list(method = method_input))
)
model_stats_full = compute.model.stats(full_model,
null_model,
"mixed_model")
reduced_model = lmer(
get(response_variable) ~
day +
connection +
(day | system_nr),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = optimizer_input,
optCtrl = list(method = method_input))
)
model_stats_fixed = compute.model.stats(reduced_model,
null_model,
"mixed_model")
iterated_results_table = fill.results.table(
iterated_results_table,
response_variable,
metaecosystem_type_i,
model_stats_full,
model_stats_fixed
)
iterated_results_table$set[nrow(iterated_results_table)] = set_input
iterated_results_table$system_nr_isolated_systems[nrow(iterated_results_table)] = paste(system_nr_isolated_systems_input, collapse = " ")
}## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored## Warning in (function (iprint = 0L, maxfun = 10000L, FtolAbs = 1e-05, FtolRel =
## 1e-15, : unused control arguments ignored
connection and connection : day)
Click for ΔAIC and p-value distributions
hist(iterated_results_table$ΔAIC_full, main = "Distribution of ΔAIC of the full model.") 
hist(iterated_results_table$p_full, main = "Distribution of p-values of the full model.") 
model_stats_full = data.frame(
deltaAIC = mean(iterated_results_table$ΔAIC_full),
p_value = mean(iterated_results_table$p_full),
R2 = NA
)
model_stats_full %>%
mutate(deltaAIC = round(deltaAIC, digits = 1),
p_value = round(p_value, digits = 3),
R2 = NULL,
evidence = "",
evidence = ifelse(p_value > 0.1,
"none",
evidence),
evidence = ifelse(p_value < 0.1,
"* weak",
evidence),
evidence = ifelse(p_value < 0.05,
"** moderate",
evidence),
evidence = ifelse(p_value < 0.01,
"*** strong",
evidence),
evidence = ifelse(p_value < 0.001,
"**** very strong",
evidence),
p_value = ifelse(p_value < 0.001,
"< 0.001",
p_value)) %>%
print()## deltaAIC p_value evidence
## 1 2.8 0.576 noneClick for which system nr produced which AIC in the full model
iterated_results_table %>%
select(system_nr_isolated_systems,
ΔAIC_full) %>%
arrange(ΔAIC_full)## system_nr_isolated_systems ΔAIC_full
## 1 1057 1062 1.295857
## 2 1062 1057 1.295857
## 3 1059 1060 1.891039
## 4 1060 1059 1.891039
## 5 1058 1062 2.005519
## 6 1062 1058 2.005519
## 7 1056 1064 2.007075
## 8 1064 1056 2.007075
## 9 1062 1063 2.635024
## 10 1063 1062 2.635024
## 11 1058 1064 2.758295
## 12 1064 1058 2.758295
## 13 1060 1065 2.918645
## 14 1065 1060 2.918645
## 15 1059 1061 3.032444
## 16 1059 1063 3.032444
## 17 1061 1059 3.032444
## 18 1063 1059 3.032444
## 19 1057 1065 3.102242
## 20 1065 1057 3.102242
## 21 1058 1060 3.125725
## 22 1060 1058 3.125725
## 23 1056 1065 3.199072
## 24 1065 1056 3.199072
## 25 1061 1064 3.286048
## 26 1064 1061 3.286048
## 27 1057 1061 3.772903
## 28 1061 1057 3.772903
## 29 1056 1063 3.782587
## 30 1063 1056 3.782587
connection)
Click for ΔAIC and p-value dsitributions
hist(iterated_results_table$ΔAIC_fix, main = "Distribution of ΔAIC of the fixed model.") 
hist(iterated_results_table$p_fix, main = "Distribution of p-values of the fixed model.") 
model_stats_fixed = data.frame(
deltaAIC = mean(iterated_results_table$ΔAIC_fix),
p_value = mean(iterated_results_table$p_fix),
R2 = NA
)
model_stats_fixed %>%
mutate(deltaAIC = round(deltaAIC, digits = 1),
p_value = round(p_value, digits = 3),
R2 = NULL,
evidence = "",
evidence = ifelse(p_value > 0.1,
"none",
evidence),
evidence = ifelse(p_value < 0.1,
"* weak",
evidence),
evidence = ifelse(p_value < 0.05,
"** moderate",
evidence),
evidence = ifelse(p_value < 0.01,
"*** strong",
evidence),
evidence = ifelse(p_value < 0.001,
"**** very strong",
evidence),
p_value = ifelse(p_value < 0.001,
"< 0.001",
p_value)) %>%
print()## deltaAIC p_value evidence
## 1 1.5 0.62 noneresults_table = fill.results.table(
results_table,
response_variable,
metaecosystem_type_i,
model_stats_full,
model_stats_fixed
)All patches
patch_type_i = c("Small isolated",
"Medium isolated",
"Large isolated",
"Small connected to small",
"Small connected to large",
"Medium connected to medium",
"Large connected to small",
"Large connected to large")BEF
Richness
ds_patches %>%
filter(species_richness > 0,
patch_type == patch_type_i) %>%
ggplot(aes(x = species_richness,
y = bioarea_mm2_per_ml)) +
geom_point() +
xlim(0, length(protist_species))
for (patch_type in patch_type_i) {
plot.relationship.BEF(patch_type,
"species_richness") %>%
print()
}Shannon
ds_patches %>%
filter(species_richness > 0,
patch_type == patch_type_i) %>%
ggplot(aes(x = shannon,
y = bioarea_mm2_per_ml)) +
geom_point()
for (patch_type in patch_type_i) {
plot.relationship.BEF(patch_type,
"shannon") %>%
print()
}Evenness
ds_patches %>%
filter(species_richness > 0,
patch_type == patch_type_i) %>%
ggplot(aes(x = evenness_pielou,
y = bioarea_mm2_per_ml)) +
geom_point() +
xlim(0, 1)## Warning: Removed 5 rows containing missing values (`geom_point()`).
for (patch_type in patch_type_i) {
plot.relationship.BEF(patch_type,
"evenness_pielou") %>%
print()
}Pop dominance
for(species_input in protist_species_dominance){
print(ds_patches %>%
ggplot(aes(x = get(paste0(species_input)),
y = bioarea_mm2_per_ml)) +
geom_point() +
labs(x = paste0(species_input, "_dominance")))
}## Warning: Removed 12 rows containing missing values (`geom_point()`).
## Warning: Removed 12 rows containing missing values (`geom_point()`).
## Warning: Removed 12 rows containing missing values (`geom_point()`).
## Warning: Removed 12 rows containing missing values (`geom_point()`).
## Warning: Removed 12 rows containing missing values (`geom_point()`).
## Warning: Removed 12 rows containing missing values (`geom_point()`).
## Warning: Removed 12 rows containing missing values (`geom_point()`).
## Warning: Removed 12 rows containing missing values (`geom_point()`).
## Warning: Removed 12 rows containing missing values (`geom_point()`).
## Warning: Removed 12 rows containing missing values (`geom_point()`).
## Warning: Removed 12 rows containing missing values (`geom_point()`).
for (patch_type in patch_type_i) {
plot.relationship.dominance.productivity(patch_type,
protist_species,
protist_species_dominance) %>%
print()
}Isolated patches
patch_type_i = c("Small isolated",
"Medium isolated",
"Large isolated")Biomass
response_variable = "bioarea_mm2_per_ml"plot.patches.points(ds_patches,
patch_type_i,
response_variable)
Click for boxplots instead of means
plot.patches.boxplots(patch_type_i,
response_variable)
save_results_in_table = TRUE
Filter
filtered_data = ds_patches %>%
filter(
metaecosystem == "no",
time_point >= first_time_point_model,
time_point <= last_time_point_model,
!is.na(!!sym(response_variable))
)Plot filtered data
plot.patches.points(filtered_data,
patch_type_i,
response_variable)
Analysis
null_model = lmer(
get(response_variable) ~
day +
(day | culture_ID),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = "Nelder_Mead")
)patch_size_ml and
patch_size_ml : day)
full_model = lmer(
get(response_variable) ~
day +
patch_size_ml +
patch_size_ml : day +
(day | culture_ID),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = "Nelder_Mead")
)Click for model output
print(summary(full_model), digits = 1)## Linear mixed model fit by maximum likelihood ['lmerMod']
## Formula: get(response_variable) ~ day + patch_size_ml + patch_size_ml:day +
## (day | culture_ID)
## Data: filtered_data
## Control: lmerControl(optimizer = "Nelder_Mead")
##
## AIC BIC logLik deviance df.resid
## 199.3 218.7 -91.6 183.3 76
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.47 -0.69 -0.09 0.57 2.46
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## culture_ID (Intercept) 5e-02 0.23
## day 1e-04 0.01 -1.00
## Residual 5e-01 0.72
## Number of obs: 84, groups: culture_ID, 14
##
## Fixed effects:
## Estimate Std. Error t value
## (Intercept) 0.946 0.505 2
## day -0.062 0.026 -2
## patch_size_ml 0.137 0.019 7
## day:patch_size_ml -0.003 0.001 -3
##
## Correlation of Fixed Effects:
## (Intr) day ptch__
## day -0.940
## patch_sz_ml -0.891 0.838
## dy:ptch_sz_ 0.838 -0.891 -0.940
## optimizer (Nelder_Mead) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')#Create resid vs fitted
res_vs_fit = filtered_data %>%
mutate(predicted = fitted(full_model),
residuals = resid(full_model)) %>%
plot_ly(x = ~predicted,
y = ~residuals,
type = "scatter",
mode = "markers",
marker = list(size = 5, color = "#4C78A8"),
text = paste(" ID: ", filtered_data$culture_ID, "<br>",
"Day: ", filtered_data$day, "<br>",
"Patch Type: ", filtered_data$patch_type, "<br>",
"Biomass density: ", round(filtered_data$bioarea_mm2_per_ml, digits = 2), "<br>",
"Species richness: ", filtered_data$species_richness, "<br>"),
hoverinfo = "text") %>%
plotly::layout(
title = "Residuals vs. Fitted Values",
xaxis = list(title = "Fitted Values"),
yaxis = list(title = "Residuals")
)Click for residual plots
res_vs_fitqqnorm(resid(full_model))
model_stats_full = compute.model.stats(full_model,
null_model,
"mixed_model")
model_stats_full %>%
mutate(deltaAIC = round(deltaAIC, digits = 1),
p_value = round(p_value, digits = 3),
R2 = NULL,
evidence = "",
evidence = ifelse(p_value > 0.1,
"none",
evidence),
evidence = ifelse(p_value < 0.1,
"* weak",
evidence),
evidence = ifelse(p_value < 0.05,
"** moderate",
evidence),
evidence = ifelse(p_value < 0.01,
"*** strong",
evidence),
evidence = ifelse(p_value < 0.001,
"**** very strong",
evidence),
p_value = ifelse(p_value < 0.001,
"< 0.001",
p_value)) %>%
print()## deltaAIC p_value evidence
## 1 -36.8 < 0.001 **** very strong
patch_size_ml)
reduced_model = lmer(
get(response_variable) ~
day +
patch_size_ml +
(day | culture_ID),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = "Nelder_Mead")
)Click for model output
print(summary(reduced_model), digits = 1)## Linear mixed model fit by maximum likelihood ['lmerMod']
## Formula: get(response_variable) ~ day + patch_size_ml + (day | culture_ID)
## Data: filtered_data
## Control: lmerControl(optimizer = "Nelder_Mead")
##
## AIC BIC logLik deviance df.resid
## 203.5 220.5 -94.8 189.5 77
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.1 -0.7 -0.1 0.7 2.4
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## culture_ID (Intercept) 0.431 0.66
## day 0.001 0.04 -1.00
## Residual 0.513 0.72
## Number of obs: 84, groups: culture_ID, 14
##
## Fixed effects:
## Estimate Std. Error t value
## (Intercept) 2.142 0.321 7
## day -0.127 0.015 -9
## patch_size_ml 0.086 0.007 13
##
## Correlation of Fixed Effects:
## (Intr) day
## day -0.843
## patch_sz_ml -0.480 0.000
## optimizer (Nelder_Mead) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')#Create resid vs fitted
res_vs_fit = filtered_data %>%
mutate(predicted = fitted(reduced_model),
residuals = resid(reduced_model)) %>%
plot_ly(x = ~predicted,
y = ~residuals,
type = "scatter",
mode = "markers",
marker = list(size = 5, color = "#4C78A8"),
text = paste(" ID: ", filtered_data$culture_ID, "<br>",
"Day: ", filtered_data$day, "<br>",
"Patch Type: ", filtered_data$patch_type, "<br>",
"Biomass density: ", round(filtered_data$bioarea_mm2_per_ml, digits = 2), "<br>",
"Species richness: ", filtered_data$species_richness, "<br>"),
hoverinfo = "text") %>%
plotly::layout(
title = "Residuals vs. Fitted Values",
xaxis = list(title = "Fitted Values"),
yaxis = list(title = "Residuals")
)Click for residual plots
res_vs_fitqqnorm(resid(reduced_model))
model_stats_fixed = compute.model.stats(reduced_model,
null_model,
"mixed_model")
model_stats_fixed %>%
mutate(deltaAIC = round(deltaAIC, digits = 1),
p_value = round(p_value, digits = 3),
R2 = NULL,
evidence = "",
evidence = ifelse(p_value > 0.1,
"none",
evidence),
evidence = ifelse(p_value < 0.1,
"* weak",
evidence),
evidence = ifelse(p_value < 0.05,
"** moderate",
evidence),
evidence = ifelse(p_value < 0.01,
"*** strong",
evidence),
evidence = ifelse(p_value < 0.001,
"**** very strong",
evidence),
p_value = ifelse(p_value < 0.001,
"< 0.001",
p_value)) %>%
print()## deltaAIC p_value evidence
## 1 -32.5 < 0.001 **** very strongresults_table = fill.results.table(results_table,
response_variable,
patch_type_i,
model_stats_full,
model_stats_fixed)Shannon
response_variable = "shannon"plot.patches.points(ds_patches,
patch_type_i,
response_variable)## Warning in qt(conf.interval/2 + 0.5, datac$N - 1): NaNs produced
Click for boxplots instead of means
plot.patches.boxplots(patch_type_i,
response_variable)## Warning: Removed 6 rows containing non-finite values (`stat_boxplot()`).
save_results_in_table = TRUE
Filter
filtered_data = ds_patches %>%
filter(
metaecosystem == "no",
time_point >= first_time_point_model,
time_point <= last_time_point_model,
!is.na(!!sym(response_variable))
)Plot filtered data
plot.patches.points(filtered_data,
patch_type_i,
response_variable)## Warning in qt(conf.interval/2 + 0.5, datac$N - 1): NaNs produced
Analysis
null_model = lmer(
get(response_variable) ~
day +
(day | culture_ID),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = "Nelder_Mead")
)patch_size_ml and
patch_size_ml : day)
full_model = lmer(
get(response_variable) ~
day +
patch_size_ml +
patch_size_ml : day +
(day | culture_ID),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = "Nelder_Mead")
)Click for model output
print(summary(full_model), digits = 1)## Linear mixed model fit by maximum likelihood ['lmerMod']
## Formula: get(response_variable) ~ day + patch_size_ml + patch_size_ml:day +
## (day | culture_ID)
## Data: filtered_data
## Control: lmerControl(optimizer = "Nelder_Mead")
##
## AIC BIC logLik deviance df.resid
## 79.4 98.2 -31.7 63.4 70
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.1 -0.7 0.0 0.7 2.4
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## culture_ID (Intercept) 0e+00 0.000
## day 9e-05 0.009 NaN
## Residual 1e-01 0.334
## Number of obs: 78, groups: culture_ID, 14
##
## Fixed effects:
## Estimate Std. Error t value
## (Intercept) 1e+00 2e-01 5.8
## day -7e-02 2e-02 -4.4
## patch_size_ml -1e-03 9e-03 -0.1
## day:patch_size_ml 2e-03 5e-04 3.7
##
## Correlation of Fixed Effects:
## (Intr) day ptch__
## day -0.866
## patch_sz_ml -0.904 0.778
## dy:ptch_sz_ 0.792 -0.912 -0.860
## optimizer (Nelder_Mead) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')#Create resid vs fitted
res_vs_fit = filtered_data %>%
mutate(predicted = fitted(full_model),
residuals = resid(full_model)) %>%
plot_ly(x = ~predicted,
y = ~residuals,
type = "scatter",
mode = "markers",
marker = list(size = 5, color = "#4C78A8"),
text = paste(" ID: ", filtered_data$culture_ID, "<br>",
"Day: ", filtered_data$day, "<br>",
"Patch Type: ", filtered_data$patch_type, "<br>",
"Biomass density: ", round(filtered_data$bioarea_mm2_per_ml, digits = 2), "<br>",
"Species richness: ", filtered_data$species_richness, "<br>"),
hoverinfo = "text") %>%
plotly::layout(
title = "Residuals vs. Fitted Values",
xaxis = list(title = "Fitted Values"),
yaxis = list(title = "Residuals")
)Click for residual plots
res_vs_fitqqnorm(resid(full_model))
model_stats_full = compute.model.stats(full_model,
null_model,
"mixed_model")
model_stats_full %>%
mutate(deltaAIC = round(deltaAIC, digits = 1),
p_value = round(p_value, digits = 3),
R2 = NULL,
evidence = "",
evidence = ifelse(p_value > 0.1,
"none",
evidence),
evidence = ifelse(p_value < 0.1,
"* weak",
evidence),
evidence = ifelse(p_value < 0.05,
"** moderate",
evidence),
evidence = ifelse(p_value < 0.01,
"*** strong",
evidence),
evidence = ifelse(p_value < 0.001,
"**** very strong",
evidence),
p_value = ifelse(p_value < 0.001,
"< 0.001",
p_value)) %>%
print()## deltaAIC p_value evidence
## 1 -18.5 < 0.001 **** very strong
patch_size_ml)
reduced_model = lmer(
get(response_variable) ~
day +
patch_size_ml +
(day | culture_ID),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = "Nelder_Mead")
)Click for model output
print(summary(reduced_model), digits = 1)## Linear mixed model fit by maximum likelihood ['lmerMod']
## Formula: get(response_variable) ~ day + patch_size_ml + (day | culture_ID)
## Data: filtered_data
## Control: lmerControl(optimizer = "Nelder_Mead")
##
## AIC BIC logLik deviance df.resid
## 84.8 101.3 -35.4 70.8 71
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.2 -0.6 -0.1 0.7 2.5
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## culture_ID (Intercept) 1e-01 0.34
## day 8e-04 0.03 -1.00
## Residual 1e-01 0.34
## Number of obs: 78, groups: culture_ID, 14
##
## Fixed effects:
## Estimate Std. Error t value
## (Intercept) 0.751 0.167 4
## day -0.017 0.010 -2
## patch_size_ml 0.027 0.004 7
##
## Correlation of Fixed Effects:
## (Intr) day
## day -0.786
## patch_sz_ml -0.542 -0.016
## optimizer (Nelder_Mead) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')#Create resid vs fitted
res_vs_fit = filtered_data %>%
mutate(predicted = fitted(reduced_model),
residuals = resid(reduced_model)) %>%
plot_ly(x = ~predicted,
y = ~residuals,
type = "scatter",
mode = "markers",
marker = list(size = 5, color = "#4C78A8"),
text = paste(" ID: ", filtered_data$culture_ID, "<br>",
"Day: ", filtered_data$day, "<br>",
"Patch Type: ", filtered_data$patch_type, "<br>",
"Biomass density: ", round(filtered_data$bioarea_mm2_per_ml, digits = 2), "<br>",
"Species richness: ", filtered_data$species_richness, "<br>"),
hoverinfo = "text") %>%
plotly::layout(
title = "Residuals vs. Fitted Values",
xaxis = list(title = "Fitted Values"),
yaxis = list(title = "Residuals")
)Click for residual plots
res_vs_fitqqnorm(resid(reduced_model))
model_stats_fixed = compute.model.stats(reduced_model,
null_model,
"mixed_model")
model_stats_fixed %>%
mutate(deltaAIC = round(deltaAIC, digits = 1),
p_value = round(p_value, digits = 3),
R2 = NULL,
evidence = "",
evidence = ifelse(p_value > 0.1,
"none",
evidence),
evidence = ifelse(p_value < 0.1,
"* weak",
evidence),
evidence = ifelse(p_value < 0.05,
"** moderate",
evidence),
evidence = ifelse(p_value < 0.01,
"*** strong",
evidence),
evidence = ifelse(p_value < 0.001,
"**** very strong",
evidence),
p_value = ifelse(p_value < 0.001,
"< 0.001",
p_value)) %>%
print()## deltaAIC p_value evidence
## 1 -13.1 < 0.001 **** very strongresults_table = fill.results.table(results_table,
response_variable,
patch_type_i,
model_stats_full,
model_stats_fixed)Richness
response_variable = "species_richness"plot.patches.points(ds_patches,
patch_type_i,
response_variable)
Click for boxplots instead of means
plot.patches.boxplots(patch_type_i,
response_variable)
save_results_in_table = TRUE
Filter
filtered_data = ds_patches %>%
filter(
metaecosystem == "no",
time_point >= first_time_point_model,
time_point <= last_time_point_model,
!is.na(!!sym(response_variable))
)Plot filtered data
plot.patches.points(filtered_data,
patch_type_i,
response_variable)
Analysis
null_model = lmer(
get(response_variable) ~
day +
(day | culture_ID),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = "Nelder_Mead")
)patch_size_ml and
patch_size_ml : day)
full_model = lmer(
get(response_variable) ~
day +
patch_size_ml +
patch_size_ml : day +
(day | culture_ID),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = "Nelder_Mead")
)Click for model output
print(summary(full_model), digits = 1)## Linear mixed model fit by maximum likelihood ['lmerMod']
## Formula: get(response_variable) ~ day + patch_size_ml + patch_size_ml:day +
## (day | culture_ID)
## Data: filtered_data
## Control: lmerControl(optimizer = "Nelder_Mead")
##
## AIC BIC logLik deviance df.resid
## 315.9 335.4 -150.0 299.9 76
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.06 -0.72 -0.04 0.68 2.29
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## culture_ID (Intercept) 2e-01 0.403
## day 3e-06 0.002 1.00
## Residual 2e+00 1.388
## Number of obs: 84, groups: culture_ID, 14
##
## Fixed effects:
## Estimate Std. Error t value
## (Intercept) 6.170 0.972 6.4
## day -0.282 0.049 -5.8
## patch_size_ml 0.034 0.037 0.9
## day:patch_size_ml 0.007 0.002 3.9
##
## Correlation of Fixed Effects:
## (Intr) day ptch__
## day -0.901
## patch_sz_ml -0.891 0.804
## dy:ptch_sz_ 0.804 -0.891 -0.901
## optimizer (Nelder_Mead) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')#Create resid vs fitted
res_vs_fit = filtered_data %>%
mutate(predicted = fitted(full_model),
residuals = resid(full_model)) %>%
plot_ly(x = ~predicted,
y = ~residuals,
type = "scatter",
mode = "markers",
marker = list(size = 5, color = "#4C78A8"),
text = paste(" ID: ", filtered_data$culture_ID, "<br>",
"Day: ", filtered_data$day, "<br>",
"Patch Type: ", filtered_data$patch_type, "<br>",
"Biomass density: ", round(filtered_data$bioarea_mm2_per_ml, digits = 2), "<br>",
"Species richness: ", filtered_data$species_richness, "<br>"),
hoverinfo = "text") %>%
plotly::layout(
title = "Residuals vs. Fitted Values",
xaxis = list(title = "Fitted Values"),
yaxis = list(title = "Residuals")
)Click for residual plots
res_vs_fitqqnorm(resid(full_model))
model_stats_full = compute.model.stats(full_model,
null_model,
"mixed_model")
model_stats_full %>%
mutate(deltaAIC = round(deltaAIC, digits = 1),
p_value = round(p_value, digits = 3),
R2 = NULL,
evidence = "",
evidence = ifelse(p_value > 0.1,
"none",
evidence),
evidence = ifelse(p_value < 0.1,
"* weak",
evidence),
evidence = ifelse(p_value < 0.05,
"** moderate",
evidence),
evidence = ifelse(p_value < 0.01,
"*** strong",
evidence),
evidence = ifelse(p_value < 0.001,
"**** very strong",
evidence),
p_value = ifelse(p_value < 0.001,
"< 0.001",
p_value)) %>%
print()## deltaAIC p_value evidence
## 1 -27.9 < 0.001 **** very strong
patch_size_ml)
reduced_model = lmer(
get(response_variable) ~
day +
patch_size_ml +
(day | culture_ID),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = "Nelder_Mead")
)Click for model output
print(summary(reduced_model), digits = 1)## Linear mixed model fit by maximum likelihood ['lmerMod']
## Formula: get(response_variable) ~ day + patch_size_ml + (day | culture_ID)
## Data: filtered_data
## Control: lmerControl(optimizer = "Nelder_Mead")
##
## AIC BIC logLik deviance df.resid
## 326.4 343.4 -156.2 312.4 77
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -1.9 -0.7 -0.1 0.7 2.2
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## culture_ID (Intercept) 1.384 1.18
## day 0.004 0.06 -0.94
## Residual 2.110 1.45
## Number of obs: 84, groups: culture_ID, 14
##
## Fixed effects:
## Estimate Std. Error t value
## (Intercept) 3.17 0.66 5
## day -0.11 0.03 -4
## patch_size_ml 0.16 0.02 10
##
## Correlation of Fixed Effects:
## (Intr) day
## day -0.773
## patch_sz_ml -0.566 0.000#Create resid vs fitted
res_vs_fit = filtered_data %>%
mutate(predicted = fitted(reduced_model),
residuals = resid(reduced_model)) %>%
plot_ly(x = ~predicted,
y = ~residuals,
type = "scatter",
mode = "markers",
marker = list(size = 5, color = "#4C78A8"),
text = paste(" ID: ", filtered_data$culture_ID, "<br>",
"Day: ", filtered_data$day, "<br>",
"Patch Type: ", filtered_data$patch_type, "<br>",
"Biomass density: ", round(filtered_data$bioarea_mm2_per_ml, digits = 2), "<br>",
"Species richness: ", filtered_data$species_richness, "<br>"),
hoverinfo = "text") %>%
plotly::layout(
title = "Residuals vs. Fitted Values",
xaxis = list(title = "Fitted Values"),
yaxis = list(title = "Residuals")
)Click for residual plots
res_vs_fitqqnorm(resid(reduced_model))
model_stats_fixed = compute.model.stats(reduced_model,
null_model,
"mixed_model")
model_stats_fixed %>%
mutate(deltaAIC = round(deltaAIC, digits = 1),
p_value = round(p_value, digits = 3),
R2 = NULL,
evidence = "",
evidence = ifelse(p_value > 0.1,
"none",
evidence),
evidence = ifelse(p_value < 0.1,
"* weak",
evidence),
evidence = ifelse(p_value < 0.05,
"** moderate",
evidence),
evidence = ifelse(p_value < 0.01,
"*** strong",
evidence),
evidence = ifelse(p_value < 0.001,
"**** very strong",
evidence),
p_value = ifelse(p_value < 0.001,
"< 0.001",
p_value)) %>%
print()## deltaAIC p_value evidence
## 1 -17.4 < 0.001 **** very strongresults_table = fill.results.table(results_table,
response_variable,
patch_type_i,
model_stats_full,
model_stats_fixed)Evenness
response_variable = "evenness_pielou"plot.patches.points(ds_patches,
patch_type_i,
response_variable)## Warning in qt(conf.interval/2 + 0.5, datac$N - 1): NaNs produced
Click for boxplots instead of means
plot.patches.boxplots(patch_type_i,
response_variable)## Warning: Removed 10 rows containing non-finite values (`stat_boxplot()`).
save_results_in_table = TRUE
Filter
filtered_data = ds_patches %>%
filter(
metaecosystem == "no",
time_point >= first_time_point_model,
time_point <= last_time_point_model,
!is.na(!!sym(response_variable))
)Plot filtered data
plot.patches.points(filtered_data,
patch_type_i,
response_variable)## Warning in qt(conf.interval/2 + 0.5, datac$N - 1): NaNs produced
Analysis
null_model = lmer(
get(response_variable) ~
day +
(day | culture_ID),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = "Nelder_Mead")
)patch_size_ml and
patch_size_ml : day)
full_model = lmer(
get(response_variable) ~
day +
patch_size_ml +
patch_size_ml : day +
(day | culture_ID),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = "Nelder_Mead")
)Click for model output
print(summary(full_model), digits = 1)## Linear mixed model fit by maximum likelihood ['lmerMod']
## Formula: get(response_variable) ~ day + patch_size_ml + patch_size_ml:day +
## (day | culture_ID)
## Data: filtered_data
## Control: lmerControl(optimizer = "Nelder_Mead")
##
## AIC BIC logLik deviance df.resid
## -38.1 -19.7 27.1 -54.1 66
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.6 -0.5 0.1 0.5 2.9
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## culture_ID (Intercept) 5e-02 0.22
## day 3e-04 0.02 -1.00
## Residual 2e-02 0.14
## Number of obs: 74, groups: culture_ID, 14
##
## Fixed effects:
## Estimate Std. Error t value
## (Intercept) 1e+00 2e-01 7
## day -4e-02 1e-02 -4
## patch_size_ml -1e-02 6e-03 -2
## day:patch_size_ml 1e-03 4e-04 3
##
## Correlation of Fixed Effects:
## (Intr) day ptch__
## day -0.963
## patch_sz_ml -0.897 0.864
## dy:ptch_sz_ 0.863 -0.896 -0.965
## optimizer (Nelder_Mead) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')#Create resid vs fitted
res_vs_fit = filtered_data %>%
mutate(predicted = fitted(full_model),
residuals = resid(full_model)) %>%
plot_ly(x = ~predicted,
y = ~residuals,
type = "scatter",
mode = "markers",
marker = list(size = 5, color = "#4C78A8"),
text = paste(" ID: ", filtered_data$culture_ID, "<br>",
"Day: ", filtered_data$day, "<br>",
"Patch Type: ", filtered_data$patch_type, "<br>",
"Biomass density: ", round(filtered_data$bioarea_mm2_per_ml, digits = 2), "<br>",
"Species richness: ", filtered_data$species_richness, "<br>"),
hoverinfo = "text") %>%
plotly::layout(
title = "Residuals vs. Fitted Values",
xaxis = list(title = "Fitted Values"),
yaxis = list(title = "Residuals")
)Click for residual plots
res_vs_fitqqnorm(resid(full_model))
model_stats_full = compute.model.stats(full_model,
null_model,
"mixed_model")
model_stats_full %>%
mutate(deltaAIC = round(deltaAIC, digits = 1),
p_value = round(p_value, digits = 3),
R2 = NULL,
evidence = "",
evidence = ifelse(p_value > 0.1,
"none",
evidence),
evidence = ifelse(p_value < 0.1,
"* weak",
evidence),
evidence = ifelse(p_value < 0.05,
"** moderate",
evidence),
evidence = ifelse(p_value < 0.01,
"*** strong",
evidence),
evidence = ifelse(p_value < 0.001,
"**** very strong",
evidence),
p_value = ifelse(p_value < 0.001,
"< 0.001",
p_value)) %>%
print()## deltaAIC p_value evidence
## 1 -11.6 < 0.001 **** very strong
patch_size_ml)
reduced_model = lmer(
get(response_variable) ~
day +
patch_size_ml +
(day | culture_ID),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = "Nelder_Mead")
)Click for model output
print(summary(reduced_model), digits = 1)## Linear mixed model fit by maximum likelihood ['lmerMod']
## Formula: get(response_variable) ~ day + patch_size_ml + (day | culture_ID)
## Data: filtered_data
## Control: lmerControl(optimizer = "Nelder_Mead")
##
## AIC BIC logLik deviance df.resid
## -31.7 -15.6 22.9 -45.7 67
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.6 -0.6 0.2 0.5 2.9
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## culture_ID (Intercept) 1e-01 0.33
## day 6e-04 0.02 -1.00
## Residual 2e-02 0.14
## Number of obs: 74, groups: culture_ID, 14
##
## Fixed effects:
## Estimate Std. Error t value
## (Intercept) 0.668 0.107 6
## day -0.008 0.007 -1
## patch_size_ml 0.006 0.002 4
##
## Correlation of Fixed Effects:
## (Intr) day
## day -0.905
## patch_sz_ml -0.381 -0.006
## optimizer (Nelder_Mead) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')#Create resid vs fitted
res_vs_fit = filtered_data %>%
mutate(predicted = fitted(reduced_model),
residuals = resid(reduced_model)) %>%
plot_ly(x = ~predicted,
y = ~residuals,
type = "scatter",
mode = "markers",
marker = list(size = 5, color = "#4C78A8"),
text = paste(" ID: ", filtered_data$culture_ID, "<br>",
"Day: ", filtered_data$day, "<br>",
"Patch Type: ", filtered_data$patch_type, "<br>",
"Biomass density: ", round(filtered_data$bioarea_mm2_per_ml, digits = 2), "<br>",
"Species richness: ", filtered_data$species_richness, "<br>"),
hoverinfo = "text") %>%
plotly::layout(
title = "Residuals vs. Fitted Values",
xaxis = list(title = "Fitted Values"),
yaxis = list(title = "Residuals")
)Click for residual plots
res_vs_fitqqnorm(resid(reduced_model))
model_stats_fixed = compute.model.stats(reduced_model,
null_model,
"mixed_model")
model_stats_fixed %>%
mutate(deltaAIC = round(deltaAIC, digits = 1),
p_value = round(p_value, digits = 3),
R2 = NULL,
evidence = "",
evidence = ifelse(p_value > 0.1,
"none",
evidence),
evidence = ifelse(p_value < 0.1,
"* weak",
evidence),
evidence = ifelse(p_value < 0.05,
"** moderate",
evidence),
evidence = ifelse(p_value < 0.01,
"*** strong",
evidence),
evidence = ifelse(p_value < 0.001,
"**** very strong",
evidence),
p_value = ifelse(p_value < 0.001,
"< 0.001",
p_value)) %>%
print()## deltaAIC p_value evidence
## 1 -5.2 0.007 *** strongresults_table = fill.results.table(results_table,
response_variable,
patch_type_i,
model_stats_full,
model_stats_fixed)Median Size
response_variable = "median_body_area_µm2"plot.patches.points(ds_patches,
patch_type_i,
response_variable)## Warning in qt(conf.interval/2 + 0.5, datac$N - 1): NaNs produced
Click for boxplots instead of means
plot.patches.boxplots(patch_type_i,
response_variable)## Warning: Removed 6 rows containing non-finite values (`stat_boxplot()`).
save_results_in_table = TRUE
Filter
filtered_data = ds_patches %>%
filter(
metaecosystem == "no",
time_point >= first_time_point_model,
time_point <= last_time_point_model,
!is.na(!!sym(response_variable))
)Plot filtered data
plot.patches.points(filtered_data,
patch_type_i,
response_variable)## Warning in qt(conf.interval/2 + 0.5, datac$N - 1): NaNs produced
Analysis
null_model = lmer(
get(response_variable) ~
day +
(day | culture_ID),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = "Nelder_Mead")
)patch_size_ml and
patch_size_ml : day)
full_model = lmer(
get(response_variable) ~
day +
patch_size_ml +
patch_size_ml : day +
(day | culture_ID),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = "Nelder_Mead")
)Click for model output
print(summary(full_model), digits = 1)## Linear mixed model fit by maximum likelihood ['lmerMod']
## Formula: get(response_variable) ~ day + patch_size_ml + patch_size_ml:day +
## (day | culture_ID)
## Data: filtered_data
## Control: lmerControl(optimizer = "Nelder_Mead")
##
## AIC BIC logLik deviance df.resid
## 1286.8 1305.6 -635.4 1270.8 70
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.9 -0.5 0.0 0.5 3.0
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## culture_ID (Intercept) 2e+05 402
## day 4e+00 2 -1.00
## Residual 6e+05 776
## Number of obs: 78, groups: culture_ID, 14
##
## Fixed effects:
## Estimate Std. Error t value
## (Intercept) 1985 620 3
## day 80 32 2
## patch_size_ml 41 23 2
## day:patch_size_ml -2 1 -2
##
## Correlation of Fixed Effects:
## (Intr) day ptch__
## day -0.872
## patch_sz_ml -0.902 0.781
## dy:ptch_sz_ 0.803 -0.914 -0.870
## optimizer (Nelder_Mead) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')#Create resid vs fitted
res_vs_fit = filtered_data %>%
mutate(predicted = fitted(full_model),
residuals = resid(full_model)) %>%
plot_ly(x = ~predicted,
y = ~residuals,
type = "scatter",
mode = "markers",
marker = list(size = 5, color = "#4C78A8"),
text = paste(" ID: ", filtered_data$culture_ID, "<br>",
"Day: ", filtered_data$day, "<br>",
"Patch Type: ", filtered_data$patch_type, "<br>",
"Biomass density: ", round(filtered_data$bioarea_mm2_per_ml, digits = 2), "<br>",
"Species richness: ", filtered_data$species_richness, "<br>"),
hoverinfo = "text") %>%
plotly::layout(
title = "Residuals vs. Fitted Values",
xaxis = list(title = "Fitted Values"),
yaxis = list(title = "Residuals")
)Click for residual plots
res_vs_fitqqnorm(resid(full_model))
model_stats_full = compute.model.stats(full_model,
null_model,
"mixed_model")
model_stats_full %>%
mutate(deltaAIC = round(deltaAIC, digits = 1),
p_value = round(p_value, digits = 3),
R2 = NULL,
evidence = "",
evidence = ifelse(p_value > 0.1,
"none",
evidence),
evidence = ifelse(p_value < 0.1,
"* weak",
evidence),
evidence = ifelse(p_value < 0.05,
"** moderate",
evidence),
evidence = ifelse(p_value < 0.01,
"*** strong",
evidence),
evidence = ifelse(p_value < 0.001,
"**** very strong",
evidence),
p_value = ifelse(p_value < 0.001,
"< 0.001",
p_value)) %>%
print()## deltaAIC p_value evidence
## 1 0 0.133 none
patch_size_ml)
reduced_model = lmer(
get(response_variable) ~
day +
patch_size_ml +
(day | culture_ID),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = "Nelder_Mead")
)Click for model output
print(summary(reduced_model), digits = 1)## Linear mixed model fit by maximum likelihood ['lmerMod']
## Formula: get(response_variable) ~ day + patch_size_ml + (day | culture_ID)
## Data: filtered_data
## Control: lmerControl(optimizer = "Nelder_Mead")
##
## AIC BIC logLik deviance df.resid
## 1288.8 1305.3 -637.4 1274.8 71
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.02 -0.31 0.07 0.49 2.91
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## culture_ID (Intercept) 2e+05 467
## day 2e+02 14 -0.59
## Residual 6e+05 790
## Number of obs: 78, groups: culture_ID, 14
##
## Fixed effects:
## Estimate Std. Error t value
## (Intercept) 3e+03 4e+02 7.8
## day 2e+01 1e+01 1.5
## patch_size_ml 9e-01 1e+01 0.1
##
## Correlation of Fixed Effects:
## (Intr) day
## day -0.586
## patch_sz_ml -0.684 -0.072#Create resid vs fitted
res_vs_fit = filtered_data %>%
mutate(predicted = fitted(reduced_model),
residuals = resid(reduced_model)) %>%
plot_ly(x = ~predicted,
y = ~residuals,
type = "scatter",
mode = "markers",
marker = list(size = 5, color = "#4C78A8"),
text = paste(" ID: ", filtered_data$culture_ID, "<br>",
"Day: ", filtered_data$day, "<br>",
"Patch Type: ", filtered_data$patch_type, "<br>",
"Biomass density: ", round(filtered_data$bioarea_mm2_per_ml, digits = 2), "<br>",
"Species richness: ", filtered_data$species_richness, "<br>"),
hoverinfo = "text") %>%
plotly::layout(
title = "Residuals vs. Fitted Values",
xaxis = list(title = "Fitted Values"),
yaxis = list(title = "Residuals")
)Click for residual plots
res_vs_fitqqnorm(resid(reduced_model))
model_stats_fixed = compute.model.stats(reduced_model,
null_model,
"mixed_model")
model_stats_fixed %>%
mutate(deltaAIC = round(deltaAIC, digits = 1),
p_value = round(p_value, digits = 3),
R2 = NULL,
evidence = "",
evidence = ifelse(p_value > 0.1,
"none",
evidence),
evidence = ifelse(p_value < 0.1,
"* weak",
evidence),
evidence = ifelse(p_value < 0.05,
"** moderate",
evidence),
evidence = ifelse(p_value < 0.01,
"*** strong",
evidence),
evidence = ifelse(p_value < 0.001,
"**** very strong",
evidence),
p_value = ifelse(p_value < 0.001,
"< 0.001",
p_value)) %>%
print()## deltaAIC p_value evidence
## 1 2 0.948 noneresults_table = fill.results.table(results_table,
response_variable,
patch_type_i,
model_stats_full,
model_stats_fixed)Populations
for(patch_type_i in patch_type_i){
print(patch_type_i)
p = ds_patches %>%
filter(patch_type == patch_type_i) %>%
group_by(day) %>%
summarise(
Ble = mean(Ble_indiv_per_ml_dominance, na.rm = TRUE),
# Ble_se = sd(Ble_indiv_per_ml_dominance, na.rm = TRUE) / sqrt(n()),
# Ble_ci = qt(c(0.025, 0.975), df = n() - 1) * Ble_se,
Cep = mean(Cep_indiv_per_ml_dominance, na.rm = TRUE),
Col = mean(Col_indiv_per_ml_dominance, na.rm = TRUE),
Eup = mean(Eup_indiv_per_ml_dominance, na.rm = TRUE),
Lox = mean(Lox_indiv_per_ml_dominance, na.rm = TRUE),
Pau = mean(Pau_indiv_per_ml_dominance, na.rm = TRUE),
Pca = mean(Pca_indiv_per_ml_dominance, na.rm = TRUE),
Spi = mean(Spi_indiv_per_ml_dominance, na.rm = TRUE),
Spi_te = mean(Spi_te_indiv_per_ml_dominance, na.rm = TRUE),
Tet = mean(Tet_indiv_per_ml_dominance, na.rm = TRUE)
) %>%
pivot_longer(Ble:Tet, names_to = "species", values_to = "species_indiv_per_ml") %>%
ggplot(aes(
x = day,
y = species_indiv_per_ml,
group = interaction(day, species),
color = species
)) +
geom_point(position = position_dodge(dodging),
size = treatment_points_size) +
geom_line(
aes(group = species),
position = position_dodge(dodging),
linewidth = treatment_lines_linewidth) +
labs(x = axis_names %>%
filter(variable == "day") %>%
pull(axis_name),
y = axis_names %>%
filter(variable == "dominance") %>%
pull(axis_name)) +
coord_cartesian(ylim = c(0, 100))
print(p)
}## [1] "Small isolated"
## [1] "Medium isolated"
## [1] "Large isolated"
Small patches
patch_type_i = c("Small isolated",
"Small connected to small",
"Small connected to large")Biomass
response_variable = "bioarea_mm2_per_ml"plot.patches.points(ds_patches,
patch_type_i,
response_variable)
Click for boxplots instead of means
plot.patches.boxplots(patch_type_i,
response_variable)
save_results_in_table = TRUE
Filter
filtered_data = ds_patches %>%
filter(
metaecosystem == "no",
time_point >= first_time_point_model,
time_point <= last_time_point_model,
!is.na(!!sym(response_variable))
)Plot filtered data
plot.patches.points(filtered_data,
patch_type_i,
response_variable)
Analysis
null_model = lmer(
get(response_variable) ~
day +
(day | culture_ID),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = "Nelder_Mead")
)patch_size_ml and
patch_size_ml : day)
full_model = lmer(
get(response_variable) ~
day +
patch_size_ml +
patch_size_ml : day +
(day | culture_ID),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = "Nelder_Mead")
)Click for model output
print(summary(full_model), digits = 1)## Linear mixed model fit by maximum likelihood ['lmerMod']
## Formula: get(response_variable) ~ day + patch_size_ml + patch_size_ml:day +
## (day | culture_ID)
## Data: filtered_data
## Control: lmerControl(optimizer = "Nelder_Mead")
##
## AIC BIC logLik deviance df.resid
## 199.3 218.7 -91.6 183.3 76
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.47 -0.69 -0.09 0.57 2.46
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## culture_ID (Intercept) 5e-02 0.23
## day 1e-04 0.01 -1.00
## Residual 5e-01 0.72
## Number of obs: 84, groups: culture_ID, 14
##
## Fixed effects:
## Estimate Std. Error t value
## (Intercept) 0.946 0.505 2
## day -0.062 0.026 -2
## patch_size_ml 0.137 0.019 7
## day:patch_size_ml -0.003 0.001 -3
##
## Correlation of Fixed Effects:
## (Intr) day ptch__
## day -0.940
## patch_sz_ml -0.891 0.838
## dy:ptch_sz_ 0.838 -0.891 -0.940
## optimizer (Nelder_Mead) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')#Create resid vs fitted
res_vs_fit = filtered_data %>%
mutate(predicted = fitted(full_model),
residuals = resid(full_model)) %>%
plot_ly(x = ~predicted,
y = ~residuals,
type = "scatter",
mode = "markers",
marker = list(size = 5, color = "#4C78A8"),
text = paste(" ID: ", filtered_data$culture_ID, "<br>",
"Day: ", filtered_data$day, "<br>",
"Patch Type: ", filtered_data$patch_type, "<br>",
"Biomass density: ", round(filtered_data$bioarea_mm2_per_ml, digits = 2), "<br>",
"Species richness: ", filtered_data$species_richness, "<br>"),
hoverinfo = "text") %>%
plotly::layout(
title = "Residuals vs. Fitted Values",
xaxis = list(title = "Fitted Values"),
yaxis = list(title = "Residuals")
)Click for residual plots
res_vs_fitqqnorm(resid(full_model))model_stats_full = compute.model.stats(full_model,
null_model,
"mixed_model")
model_stats_full %>%
mutate(deltaAIC = round(deltaAIC, digits = 1),
p_value = round(p_value, digits = 3),
R2 = NULL,
evidence = "",
evidence = ifelse(p_value > 0.1,
"none",
evidence),
evidence = ifelse(p_value < 0.1,
"* weak",
evidence),
evidence = ifelse(p_value < 0.05,
"** moderate",
evidence),
evidence = ifelse(p_value < 0.01,
"*** strong",
evidence),
evidence = ifelse(p_value < 0.001,
"**** very strong",
evidence),
p_value = ifelse(p_value < 0.001,
"< 0.001",
p_value)) %>%
print()## deltaAIC p_value evidence
## 1 -36.8 < 0.001 **** very strong
patch_size_ml)
reduced_model = lmer(
get(response_variable) ~
day +
patch_size_ml +
(day | culture_ID),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = "Nelder_Mead")
)Click for model output
print(summary(reduced_model), digits = 1)## Linear mixed model fit by maximum likelihood ['lmerMod']
## Formula: get(response_variable) ~ day + patch_size_ml + (day | culture_ID)
## Data: filtered_data
## Control: lmerControl(optimizer = "Nelder_Mead")
##
## AIC BIC logLik deviance df.resid
## 203.5 220.5 -94.8 189.5 77
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.1 -0.7 -0.1 0.7 2.4
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## culture_ID (Intercept) 0.431 0.66
## day 0.001 0.04 -1.00
## Residual 0.513 0.72
## Number of obs: 84, groups: culture_ID, 14
##
## Fixed effects:
## Estimate Std. Error t value
## (Intercept) 2.142 0.321 7
## day -0.127 0.015 -9
## patch_size_ml 0.086 0.007 13
##
## Correlation of Fixed Effects:
## (Intr) day
## day -0.843
## patch_sz_ml -0.480 0.000
## optimizer (Nelder_Mead) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')#Create resid vs fitted
res_vs_fit = filtered_data %>%
mutate(predicted = fitted(reduced_model),
residuals = resid(reduced_model)) %>%
plot_ly(x = ~predicted,
y = ~residuals,
type = "scatter",
mode = "markers",
marker = list(size = 5, color = "#4C78A8"),
text = paste(" ID: ", filtered_data$culture_ID, "<br>",
"Day: ", filtered_data$day, "<br>",
"Patch Type: ", filtered_data$patch_type, "<br>",
"Biomass density: ", round(filtered_data$bioarea_mm2_per_ml, digits = 2), "<br>",
"Species richness: ", filtered_data$species_richness, "<br>"),
hoverinfo = "text") %>%
plotly::layout(
title = "Residuals vs. Fitted Values",
xaxis = list(title = "Fitted Values"),
yaxis = list(title = "Residuals")
)Click for residual plots
res_vs_fitqqnorm(resid(reduced_model))model_stats_fixed = compute.model.stats(reduced_model,
null_model,
"mixed_model")
model_stats_fixed %>%
mutate(deltaAIC = round(deltaAIC, digits = 1),
p_value = round(p_value, digits = 3),
R2 = NULL,
evidence = "",
evidence = ifelse(p_value > 0.1,
"none",
evidence),
evidence = ifelse(p_value < 0.1,
"* weak",
evidence),
evidence = ifelse(p_value < 0.05,
"** moderate",
evidence),
evidence = ifelse(p_value < 0.01,
"*** strong",
evidence),
evidence = ifelse(p_value < 0.001,
"**** very strong",
evidence),
p_value = ifelse(p_value < 0.001,
"< 0.001",
p_value)) %>%
print()## deltaAIC p_value evidence
## 1 -32.5 < 0.001 **** very strongresults_table = fill.results.table(results_table,
response_variable,
patch_type_i,
model_stats_full,
model_stats_fixed)Shannon
response_variable = "shannon"plot.patches.points(ds_patches,
patch_type_i,
response_variable)## Warning in qt(conf.interval/2 + 0.5, datac$N - 1): NaNs produced
Click for boxplots instead of means
plot.patches.boxplots(patch_type_i,
response_variable)## Warning: Removed 12 rows containing non-finite values (`stat_boxplot()`).
save_results_in_table = TRUE
Filter
filtered_data = ds_patches %>%
filter(
metaecosystem == "no",
time_point >= first_time_point_model,
time_point <= last_time_point_model,
!is.na(!!sym(response_variable))
)Plot filtered data
plot.patches.points(filtered_data,
patch_type_i,
response_variable)## Warning in qt(conf.interval/2 + 0.5, datac$N - 1): NaNs produced
Analysis
null_model = lmer(
get(response_variable) ~
day +
(day | culture_ID),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = "Nelder_Mead")
)patch_size_ml and
patch_size_ml : day)
full_model = lmer(
get(response_variable) ~
day +
patch_size_ml +
patch_size_ml : day +
(day | culture_ID),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = "Nelder_Mead")
)Click for model output
print(summary(full_model), digits = 1)## Linear mixed model fit by maximum likelihood ['lmerMod']
## Formula: get(response_variable) ~ day + patch_size_ml + patch_size_ml:day +
## (day | culture_ID)
## Data: filtered_data
## Control: lmerControl(optimizer = "Nelder_Mead")
##
## AIC BIC logLik deviance df.resid
## 79.4 98.2 -31.7 63.4 70
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.1 -0.7 0.0 0.7 2.4
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## culture_ID (Intercept) 0e+00 0.000
## day 9e-05 0.009 NaN
## Residual 1e-01 0.334
## Number of obs: 78, groups: culture_ID, 14
##
## Fixed effects:
## Estimate Std. Error t value
## (Intercept) 1e+00 2e-01 5.8
## day -7e-02 2e-02 -4.4
## patch_size_ml -1e-03 9e-03 -0.1
## day:patch_size_ml 2e-03 5e-04 3.7
##
## Correlation of Fixed Effects:
## (Intr) day ptch__
## day -0.866
## patch_sz_ml -0.904 0.778
## dy:ptch_sz_ 0.792 -0.912 -0.860
## optimizer (Nelder_Mead) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')#Create resid vs fitted
res_vs_fit = filtered_data %>%
mutate(predicted = fitted(full_model),
residuals = resid(full_model)) %>%
plot_ly(x = ~predicted,
y = ~residuals,
type = "scatter",
mode = "markers",
marker = list(size = 5, color = "#4C78A8"),
text = paste(" ID: ", filtered_data$culture_ID, "<br>",
"Day: ", filtered_data$day, "<br>",
"Patch Type: ", filtered_data$patch_type, "<br>",
"Biomass density: ", round(filtered_data$bioarea_mm2_per_ml, digits = 2), "<br>",
"Species richness: ", filtered_data$species_richness, "<br>"),
hoverinfo = "text") %>%
plotly::layout(
title = "Residuals vs. Fitted Values",
xaxis = list(title = "Fitted Values"),
yaxis = list(title = "Residuals")
)Click for residual plots
res_vs_fitqqnorm(resid(full_model))model_stats_full = compute.model.stats(full_model,
null_model,
"mixed_model")
model_stats_full %>%
mutate(deltaAIC = round(deltaAIC, digits = 1),
p_value = round(p_value, digits = 3),
R2 = NULL,
evidence = "",
evidence = ifelse(p_value > 0.1,
"none",
evidence),
evidence = ifelse(p_value < 0.1,
"* weak",
evidence),
evidence = ifelse(p_value < 0.05,
"** moderate",
evidence),
evidence = ifelse(p_value < 0.01,
"*** strong",
evidence),
evidence = ifelse(p_value < 0.001,
"**** very strong",
evidence),
p_value = ifelse(p_value < 0.001,
"< 0.001",
p_value)) %>%
print()## deltaAIC p_value evidence
## 1 -18.5 < 0.001 **** very strong
patch_size_ml)
reduced_model = lmer(
get(response_variable) ~
day +
patch_size_ml +
(day | culture_ID),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = "Nelder_Mead")
)Click for model output
print(summary(reduced_model), digits = 1)## Linear mixed model fit by maximum likelihood ['lmerMod']
## Formula: get(response_variable) ~ day + patch_size_ml + (day | culture_ID)
## Data: filtered_data
## Control: lmerControl(optimizer = "Nelder_Mead")
##
## AIC BIC logLik deviance df.resid
## 84.8 101.3 -35.4 70.8 71
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.2 -0.6 -0.1 0.7 2.5
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## culture_ID (Intercept) 1e-01 0.34
## day 8e-04 0.03 -1.00
## Residual 1e-01 0.34
## Number of obs: 78, groups: culture_ID, 14
##
## Fixed effects:
## Estimate Std. Error t value
## (Intercept) 0.751 0.167 4
## day -0.017 0.010 -2
## patch_size_ml 0.027 0.004 7
##
## Correlation of Fixed Effects:
## (Intr) day
## day -0.786
## patch_sz_ml -0.542 -0.016
## optimizer (Nelder_Mead) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')#Create resid vs fitted
res_vs_fit = filtered_data %>%
mutate(predicted = fitted(reduced_model),
residuals = resid(reduced_model)) %>%
plot_ly(x = ~predicted,
y = ~residuals,
type = "scatter",
mode = "markers",
marker = list(size = 5, color = "#4C78A8"),
text = paste(" ID: ", filtered_data$culture_ID, "<br>",
"Day: ", filtered_data$day, "<br>",
"Patch Type: ", filtered_data$patch_type, "<br>",
"Biomass density: ", round(filtered_data$bioarea_mm2_per_ml, digits = 2), "<br>",
"Species richness: ", filtered_data$species_richness, "<br>"),
hoverinfo = "text") %>%
plotly::layout(
title = "Residuals vs. Fitted Values",
xaxis = list(title = "Fitted Values"),
yaxis = list(title = "Residuals")
)Click for residual plots
res_vs_fitqqnorm(resid(reduced_model))model_stats_fixed = compute.model.stats(reduced_model,
null_model,
"mixed_model")
model_stats_fixed %>%
mutate(deltaAIC = round(deltaAIC, digits = 1),
p_value = round(p_value, digits = 3),
R2 = NULL,
evidence = "",
evidence = ifelse(p_value > 0.1,
"none",
evidence),
evidence = ifelse(p_value < 0.1,
"* weak",
evidence),
evidence = ifelse(p_value < 0.05,
"** moderate",
evidence),
evidence = ifelse(p_value < 0.01,
"*** strong",
evidence),
evidence = ifelse(p_value < 0.001,
"**** very strong",
evidence),
p_value = ifelse(p_value < 0.001,
"< 0.001",
p_value)) %>%
print()## deltaAIC p_value evidence
## 1 -13.1 < 0.001 **** very strongresults_table = fill.results.table(results_table,
response_variable,
patch_type_i,
model_stats_full,
model_stats_fixed)Richness
response_variable = "species_richness"plot.patches.points(ds_patches,
patch_type_i,
response_variable)
Click for boxplots instead of means
plot.patches.boxplots(patch_type_i,
response_variable)
save_results_in_table = TRUE
Filter
filtered_data = ds_patches %>%
filter(
metaecosystem == "no",
time_point >= first_time_point_model,
time_point <= last_time_point_model,
!is.na(!!sym(response_variable))
)Plot filtered data
plot.patches.points(filtered_data,
patch_type_i,
response_variable)
Analysis
null_model = lmer(
get(response_variable) ~
day +
(day | culture_ID),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = "Nelder_Mead")
)patch_size_ml and
patch_size_ml : day)
full_model = lmer(
get(response_variable) ~
day +
patch_size_ml +
patch_size_ml : day +
(day | culture_ID),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = "Nelder_Mead")
)Click for model output
print(summary(full_model), digits = 1)## Linear mixed model fit by maximum likelihood ['lmerMod']
## Formula: get(response_variable) ~ day + patch_size_ml + patch_size_ml:day +
## (day | culture_ID)
## Data: filtered_data
## Control: lmerControl(optimizer = "Nelder_Mead")
##
## AIC BIC logLik deviance df.resid
## 315.9 335.4 -150.0 299.9 76
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.06 -0.72 -0.04 0.68 2.29
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## culture_ID (Intercept) 2e-01 0.403
## day 3e-06 0.002 1.00
## Residual 2e+00 1.388
## Number of obs: 84, groups: culture_ID, 14
##
## Fixed effects:
## Estimate Std. Error t value
## (Intercept) 6.170 0.972 6.4
## day -0.282 0.049 -5.8
## patch_size_ml 0.034 0.037 0.9
## day:patch_size_ml 0.007 0.002 3.9
##
## Correlation of Fixed Effects:
## (Intr) day ptch__
## day -0.901
## patch_sz_ml -0.891 0.804
## dy:ptch_sz_ 0.804 -0.891 -0.901
## optimizer (Nelder_Mead) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')#Create resid vs fitted
res_vs_fit = filtered_data %>%
mutate(predicted = fitted(full_model),
residuals = resid(full_model)) %>%
plot_ly(x = ~predicted,
y = ~residuals,
type = "scatter",
mode = "markers",
marker = list(size = 5, color = "#4C78A8"),
text = paste(" ID: ", filtered_data$culture_ID, "<br>",
"Day: ", filtered_data$day, "<br>",
"Patch Type: ", filtered_data$patch_type, "<br>",
"Biomass density: ", round(filtered_data$bioarea_mm2_per_ml, digits = 2), "<br>",
"Species richness: ", filtered_data$species_richness, "<br>"),
hoverinfo = "text") %>%
plotly::layout(
title = "Residuals vs. Fitted Values",
xaxis = list(title = "Fitted Values"),
yaxis = list(title = "Residuals")
)Click for residual plots
res_vs_fitqqnorm(resid(full_model))model_stats_full = compute.model.stats(full_model,
null_model,
"mixed_model")
model_stats_full %>%
mutate(deltaAIC = round(deltaAIC, digits = 1),
p_value = round(p_value, digits = 3),
R2 = NULL,
evidence = "",
evidence = ifelse(p_value > 0.1,
"none",
evidence),
evidence = ifelse(p_value < 0.1,
"* weak",
evidence),
evidence = ifelse(p_value < 0.05,
"** moderate",
evidence),
evidence = ifelse(p_value < 0.01,
"*** strong",
evidence),
evidence = ifelse(p_value < 0.001,
"**** very strong",
evidence),
p_value = ifelse(p_value < 0.001,
"< 0.001",
p_value)) %>%
print()## deltaAIC p_value evidence
## 1 -27.9 < 0.001 **** very strong
patch_size_ml)
reduced_model = lmer(
get(response_variable) ~
day +
patch_size_ml +
(day | culture_ID),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = "Nelder_Mead")
)Click for model output
print(summary(reduced_model), digits = 1)## Linear mixed model fit by maximum likelihood ['lmerMod']
## Formula: get(response_variable) ~ day + patch_size_ml + (day | culture_ID)
## Data: filtered_data
## Control: lmerControl(optimizer = "Nelder_Mead")
##
## AIC BIC logLik deviance df.resid
## 326.4 343.4 -156.2 312.4 77
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -1.9 -0.7 -0.1 0.7 2.2
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## culture_ID (Intercept) 1.384 1.18
## day 0.004 0.06 -0.94
## Residual 2.110 1.45
## Number of obs: 84, groups: culture_ID, 14
##
## Fixed effects:
## Estimate Std. Error t value
## (Intercept) 3.17 0.66 5
## day -0.11 0.03 -4
## patch_size_ml 0.16 0.02 10
##
## Correlation of Fixed Effects:
## (Intr) day
## day -0.773
## patch_sz_ml -0.566 0.000#Create resid vs fitted
res_vs_fit = filtered_data %>%
mutate(predicted = fitted(reduced_model),
residuals = resid(reduced_model)) %>%
plot_ly(x = ~predicted,
y = ~residuals,
type = "scatter",
mode = "markers",
marker = list(size = 5, color = "#4C78A8"),
text = paste(" ID: ", filtered_data$culture_ID, "<br>",
"Day: ", filtered_data$day, "<br>",
"Patch Type: ", filtered_data$patch_type, "<br>",
"Biomass density: ", round(filtered_data$bioarea_mm2_per_ml, digits = 2), "<br>",
"Species richness: ", filtered_data$species_richness, "<br>"),
hoverinfo = "text") %>%
plotly::layout(
title = "Residuals vs. Fitted Values",
xaxis = list(title = "Fitted Values"),
yaxis = list(title = "Residuals")
)Click for residual plots
res_vs_fitqqnorm(resid(reduced_model))model_stats_fixed = compute.model.stats(reduced_model,
null_model,
"mixed_model")
model_stats_fixed %>%
mutate(deltaAIC = round(deltaAIC, digits = 1),
p_value = round(p_value, digits = 3),
R2 = NULL,
evidence = "",
evidence = ifelse(p_value > 0.1,
"none",
evidence),
evidence = ifelse(p_value < 0.1,
"* weak",
evidence),
evidence = ifelse(p_value < 0.05,
"** moderate",
evidence),
evidence = ifelse(p_value < 0.01,
"*** strong",
evidence),
evidence = ifelse(p_value < 0.001,
"**** very strong",
evidence),
p_value = ifelse(p_value < 0.001,
"< 0.001",
p_value)) %>%
print()## deltaAIC p_value evidence
## 1 -17.4 < 0.001 **** very strongresults_table = fill.results.table(results_table,
response_variable,
patch_type_i,
model_stats_full,
model_stats_fixed)Evenness
response_variable = "evenness_pielou"plot.patches.points(ds_patches,
patch_type_i,
response_variable)## Warning in qt(conf.interval/2 + 0.5, datac$N - 1): NaNs produced
Click for boxplots instead of means
plot.patches.boxplots(patch_type_i,
response_variable)## Warning: Removed 33 rows containing non-finite values (`stat_boxplot()`).
save_results_in_table = TRUE
Filter
filtered_data = ds_patches %>%
filter(
metaecosystem == "no",
time_point >= first_time_point_model,
time_point <= last_time_point_model,
!is.na(!!sym(response_variable))
)Plot filtered data
plot.patches.points(filtered_data,
patch_type_i,
response_variable)## Warning in qt(conf.interval/2 + 0.5, datac$N - 1): NaNs produced
Analysis
null_model = lmer(
get(response_variable) ~
day +
(day | culture_ID),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = "Nelder_Mead")
)patch_size_ml and
patch_size_ml : day)
full_model = lmer(
get(response_variable) ~
day +
patch_size_ml +
patch_size_ml : day +
(day | culture_ID),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = "Nelder_Mead")
)Click for model output
print(summary(full_model), digits = 1)## Linear mixed model fit by maximum likelihood ['lmerMod']
## Formula: get(response_variable) ~ day + patch_size_ml + patch_size_ml:day +
## (day | culture_ID)
## Data: filtered_data
## Control: lmerControl(optimizer = "Nelder_Mead")
##
## AIC BIC logLik deviance df.resid
## -38.1 -19.7 27.1 -54.1 66
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.6 -0.5 0.1 0.5 2.9
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## culture_ID (Intercept) 5e-02 0.22
## day 3e-04 0.02 -1.00
## Residual 2e-02 0.14
## Number of obs: 74, groups: culture_ID, 14
##
## Fixed effects:
## Estimate Std. Error t value
## (Intercept) 1e+00 2e-01 7
## day -4e-02 1e-02 -4
## patch_size_ml -1e-02 6e-03 -2
## day:patch_size_ml 1e-03 4e-04 3
##
## Correlation of Fixed Effects:
## (Intr) day ptch__
## day -0.963
## patch_sz_ml -0.897 0.864
## dy:ptch_sz_ 0.863 -0.896 -0.965
## optimizer (Nelder_Mead) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')#Create resid vs fitted
res_vs_fit = filtered_data %>%
mutate(predicted = fitted(full_model),
residuals = resid(full_model)) %>%
plot_ly(x = ~predicted,
y = ~residuals,
type = "scatter",
mode = "markers",
marker = list(size = 5, color = "#4C78A8"),
text = paste(" ID: ", filtered_data$culture_ID, "<br>",
"Day: ", filtered_data$day, "<br>",
"Patch Type: ", filtered_data$patch_type, "<br>",
"Biomass density: ", round(filtered_data$bioarea_mm2_per_ml, digits = 2), "<br>",
"Species richness: ", filtered_data$species_richness, "<br>"),
hoverinfo = "text") %>%
plotly::layout(
title = "Residuals vs. Fitted Values",
xaxis = list(title = "Fitted Values"),
yaxis = list(title = "Residuals")
)Click for residual plots
res_vs_fitqqnorm(resid(full_model))model_stats_full = compute.model.stats(full_model,
null_model,
"mixed_model")
model_stats_full %>%
mutate(deltaAIC = round(deltaAIC, digits = 1),
p_value = round(p_value, digits = 3),
R2 = NULL,
evidence = "",
evidence = ifelse(p_value > 0.1,
"none",
evidence),
evidence = ifelse(p_value < 0.1,
"* weak",
evidence),
evidence = ifelse(p_value < 0.05,
"** moderate",
evidence),
evidence = ifelse(p_value < 0.01,
"*** strong",
evidence),
evidence = ifelse(p_value < 0.001,
"**** very strong",
evidence),
p_value = ifelse(p_value < 0.001,
"< 0.001",
p_value)) %>%
print()## deltaAIC p_value evidence
## 1 -11.6 < 0.001 **** very strong
patch_size_ml)
reduced_model = lmer(
get(response_variable) ~
day +
patch_size_ml +
(day | culture_ID),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = "Nelder_Mead")
)Click for model output
print(summary(reduced_model), digits = 1)## Linear mixed model fit by maximum likelihood ['lmerMod']
## Formula: get(response_variable) ~ day + patch_size_ml + (day | culture_ID)
## Data: filtered_data
## Control: lmerControl(optimizer = "Nelder_Mead")
##
## AIC BIC logLik deviance df.resid
## -31.7 -15.6 22.9 -45.7 67
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.6 -0.6 0.2 0.5 2.9
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## culture_ID (Intercept) 1e-01 0.33
## day 6e-04 0.02 -1.00
## Residual 2e-02 0.14
## Number of obs: 74, groups: culture_ID, 14
##
## Fixed effects:
## Estimate Std. Error t value
## (Intercept) 0.668 0.107 6
## day -0.008 0.007 -1
## patch_size_ml 0.006 0.002 4
##
## Correlation of Fixed Effects:
## (Intr) day
## day -0.905
## patch_sz_ml -0.381 -0.006
## optimizer (Nelder_Mead) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')#Create resid vs fitted
res_vs_fit = filtered_data %>%
mutate(predicted = fitted(reduced_model),
residuals = resid(reduced_model)) %>%
plot_ly(x = ~predicted,
y = ~residuals,
type = "scatter",
mode = "markers",
marker = list(size = 5, color = "#4C78A8"),
text = paste(" ID: ", filtered_data$culture_ID, "<br>",
"Day: ", filtered_data$day, "<br>",
"Patch Type: ", filtered_data$patch_type, "<br>",
"Biomass density: ", round(filtered_data$bioarea_mm2_per_ml, digits = 2), "<br>",
"Species richness: ", filtered_data$species_richness, "<br>"),
hoverinfo = "text") %>%
plotly::layout(
title = "Residuals vs. Fitted Values",
xaxis = list(title = "Fitted Values"),
yaxis = list(title = "Residuals")
)Click for residual plots
res_vs_fitqqnorm(resid(reduced_model))model_stats_fixed = compute.model.stats(reduced_model,
null_model,
"mixed_model")
model_stats_fixed %>%
mutate(deltaAIC = round(deltaAIC, digits = 1),
p_value = round(p_value, digits = 3),
R2 = NULL,
evidence = "",
evidence = ifelse(p_value > 0.1,
"none",
evidence),
evidence = ifelse(p_value < 0.1,
"* weak",
evidence),
evidence = ifelse(p_value < 0.05,
"** moderate",
evidence),
evidence = ifelse(p_value < 0.01,
"*** strong",
evidence),
evidence = ifelse(p_value < 0.001,
"**** very strong",
evidence),
p_value = ifelse(p_value < 0.001,
"< 0.001",
p_value)) %>%
print()## deltaAIC p_value evidence
## 1 -5.2 0.007 *** strongresults_table = fill.results.table(results_table,
response_variable,
patch_type_i,
model_stats_full,
model_stats_fixed)Median Size
response_variable = "median_body_area_µm2"plot.patches.points(ds_patches,
patch_type_i,
response_variable)## Warning in qt(conf.interval/2 + 0.5, datac$N - 1): NaNs produced
Click for boxplots instead of means
plot.patches.boxplots(patch_type_i,
response_variable)## Warning: Removed 12 rows containing non-finite values (`stat_boxplot()`).
save_results_in_table = TRUE
Filter
filtered_data = ds_patches %>%
filter(
metaecosystem == "no",
time_point >= first_time_point_model,
time_point <= last_time_point_model,
!is.na(!!sym(response_variable))
)Plot filtered data
plot.patches.points(filtered_data,
patch_type_i,
response_variable)## Warning in qt(conf.interval/2 + 0.5, datac$N - 1): NaNs produced
Analysis
null_model = lmer(
get(response_variable) ~
day +
(day | culture_ID),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = "Nelder_Mead")
)patch_size_ml and
patch_size_ml : day)
full_model = lmer(
get(response_variable) ~
day +
patch_size_ml +
patch_size_ml : day +
(day | culture_ID),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = "Nelder_Mead")
)Click for model output
print(summary(full_model), digits = 1)## Linear mixed model fit by maximum likelihood ['lmerMod']
## Formula: get(response_variable) ~ day + patch_size_ml + patch_size_ml:day +
## (day | culture_ID)
## Data: filtered_data
## Control: lmerControl(optimizer = "Nelder_Mead")
##
## AIC BIC logLik deviance df.resid
## 1286.8 1305.6 -635.4 1270.8 70
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.9 -0.5 0.0 0.5 3.0
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## culture_ID (Intercept) 2e+05 402
## day 4e+00 2 -1.00
## Residual 6e+05 776
## Number of obs: 78, groups: culture_ID, 14
##
## Fixed effects:
## Estimate Std. Error t value
## (Intercept) 1985 620 3
## day 80 32 2
## patch_size_ml 41 23 2
## day:patch_size_ml -2 1 -2
##
## Correlation of Fixed Effects:
## (Intr) day ptch__
## day -0.872
## patch_sz_ml -0.902 0.781
## dy:ptch_sz_ 0.803 -0.914 -0.870
## optimizer (Nelder_Mead) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')#Create resid vs fitted
res_vs_fit = filtered_data %>%
mutate(predicted = fitted(full_model),
residuals = resid(full_model)) %>%
plot_ly(x = ~predicted,
y = ~residuals,
type = "scatter",
mode = "markers",
marker = list(size = 5, color = "#4C78A8"),
text = paste(" ID: ", filtered_data$culture_ID, "<br>",
"Day: ", filtered_data$day, "<br>",
"Patch Type: ", filtered_data$patch_type, "<br>",
"Biomass density: ", round(filtered_data$bioarea_mm2_per_ml, digits = 2), "<br>",
"Species richness: ", filtered_data$species_richness, "<br>"),
hoverinfo = "text") %>%
plotly::layout(
title = "Residuals vs. Fitted Values",
xaxis = list(title = "Fitted Values"),
yaxis = list(title = "Residuals")
)Click for residual plots
res_vs_fitqqnorm(resid(full_model))model_stats_full = compute.model.stats(full_model,
null_model,
"mixed_model")
model_stats_full %>%
mutate(deltaAIC = round(deltaAIC, digits = 1),
p_value = round(p_value, digits = 3),
R2 = NULL,
evidence = "",
evidence = ifelse(p_value > 0.1,
"none",
evidence),
evidence = ifelse(p_value < 0.1,
"* weak",
evidence),
evidence = ifelse(p_value < 0.05,
"** moderate",
evidence),
evidence = ifelse(p_value < 0.01,
"*** strong",
evidence),
evidence = ifelse(p_value < 0.001,
"**** very strong",
evidence),
p_value = ifelse(p_value < 0.001,
"< 0.001",
p_value)) %>%
print()## deltaAIC p_value evidence
## 1 0 0.133 none
patch_size_ml)
reduced_model = lmer(
get(response_variable) ~
day +
patch_size_ml +
(day | culture_ID),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = "Nelder_Mead")
)Click for model output
print(summary(reduced_model), digits = 1)## Linear mixed model fit by maximum likelihood ['lmerMod']
## Formula: get(response_variable) ~ day + patch_size_ml + (day | culture_ID)
## Data: filtered_data
## Control: lmerControl(optimizer = "Nelder_Mead")
##
## AIC BIC logLik deviance df.resid
## 1288.8 1305.3 -637.4 1274.8 71
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.02 -0.31 0.07 0.49 2.91
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## culture_ID (Intercept) 2e+05 467
## day 2e+02 14 -0.59
## Residual 6e+05 790
## Number of obs: 78, groups: culture_ID, 14
##
## Fixed effects:
## Estimate Std. Error t value
## (Intercept) 3e+03 4e+02 7.8
## day 2e+01 1e+01 1.5
## patch_size_ml 9e-01 1e+01 0.1
##
## Correlation of Fixed Effects:
## (Intr) day
## day -0.586
## patch_sz_ml -0.684 -0.072#Create resid vs fitted
res_vs_fit = filtered_data %>%
mutate(predicted = fitted(reduced_model),
residuals = resid(reduced_model)) %>%
plot_ly(x = ~predicted,
y = ~residuals,
type = "scatter",
mode = "markers",
marker = list(size = 5, color = "#4C78A8"),
text = paste(" ID: ", filtered_data$culture_ID, "<br>",
"Day: ", filtered_data$day, "<br>",
"Patch Type: ", filtered_data$patch_type, "<br>",
"Biomass density: ", round(filtered_data$bioarea_mm2_per_ml, digits = 2), "<br>",
"Species richness: ", filtered_data$species_richness, "<br>"),
hoverinfo = "text") %>%
plotly::layout(
title = "Residuals vs. Fitted Values",
xaxis = list(title = "Fitted Values"),
yaxis = list(title = "Residuals")
)Click for residual plots
res_vs_fitqqnorm(resid(reduced_model))model_stats_fixed = compute.model.stats(reduced_model,
null_model,
"mixed_model")
model_stats_fixed %>%
mutate(deltaAIC = round(deltaAIC, digits = 1),
p_value = round(p_value, digits = 3),
R2 = NULL,
evidence = "",
evidence = ifelse(p_value > 0.1,
"none",
evidence),
evidence = ifelse(p_value < 0.1,
"* weak",
evidence),
evidence = ifelse(p_value < 0.05,
"** moderate",
evidence),
evidence = ifelse(p_value < 0.01,
"*** strong",
evidence),
evidence = ifelse(p_value < 0.001,
"**** very strong",
evidence),
p_value = ifelse(p_value < 0.001,
"< 0.001",
p_value)) %>%
print()## deltaAIC p_value evidence
## 1 2 0.948 noneresults_table = fill.results.table(results_table,
response_variable,
patch_type_i,
model_stats_full,
model_stats_fixed)Populations
for(patch_type_i in patch_type_i){
print(patch_type_i)
p = ds_patches %>%
filter(patch_type == patch_type_i) %>%
group_by(day) %>%
summarise(
Ble = mean(Ble_indiv_per_ml_dominance, na.rm = TRUE),
# Ble_se = sd(Ble_indiv_per_ml_dominance, na.rm = TRUE) / sqrt(n()),
# Ble_ci = qt(c(0.025, 0.975), df = n() - 1) * Ble_se,
Cep = mean(Cep_indiv_per_ml_dominance, na.rm = TRUE),
Col = mean(Col_indiv_per_ml_dominance, na.rm = TRUE),
Eup = mean(Eup_indiv_per_ml_dominance, na.rm = TRUE),
Lox = mean(Lox_indiv_per_ml_dominance, na.rm = TRUE),
Pau = mean(Pau_indiv_per_ml_dominance, na.rm = TRUE),
Pca = mean(Pca_indiv_per_ml_dominance, na.rm = TRUE),
Spi = mean(Spi_indiv_per_ml_dominance, na.rm = TRUE),
Spi_te = mean(Spi_te_indiv_per_ml_dominance, na.rm = TRUE),
Tet = mean(Tet_indiv_per_ml_dominance, na.rm = TRUE)
) %>%
pivot_longer(Ble:Tet, names_to = "species", values_to = "species_indiv_per_ml") %>%
ggplot(aes(
x = day,
y = species_indiv_per_ml,
group = interaction(day, species),
color = species
)) +
geom_point(position = position_dodge(dodging),
size = treatment_points_size) +
geom_line(
aes(group = species),
position = position_dodge(dodging),
linewidth = treatment_lines_linewidth) +
labs(x = axis_names %>%
filter(variable == "day") %>%
pull(axis_name),
y = axis_names %>%
filter(variable == "dominance") %>%
pull(axis_name)) +
coord_cartesian(ylim = c(0, 100))
print(p)
}## [1] "Small isolated"
## [1] "Small connected to small"
## [1] "Small connected to large"
Medium patches
patch_type_i = c("Medium isolated",
"Medium connected to medium")Biomass
response_variable = "bioarea_mm2_per_ml"plot.patches.points(ds_patches,
patch_type_i,
response_variable)
Click for boxplots instead of means
plot.patches.boxplots(patch_type_i,
response_variable)
save_results_in_table = TRUE
Filter
filtered_data = ds_patches %>%
filter(
metaecosystem == "no",
time_point >= first_time_point_model,
time_point <= last_time_point_model,
!is.na(!!sym(response_variable))
)Plot filtered data
plot.patches.points(filtered_data,
patch_type_i,
response_variable)
Analysis
null_model = lmer(
get(response_variable) ~
day +
(day | culture_ID),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = "Nelder_Mead")
)patch_size_ml and
patch_size_ml : day)
full_model = lmer(
get(response_variable) ~
day +
patch_size_ml +
patch_size_ml : day +
(day | culture_ID),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = "Nelder_Mead")
)Click for model output
print(summary(full_model), digits = 1)## Linear mixed model fit by maximum likelihood ['lmerMod']
## Formula: get(response_variable) ~ day + patch_size_ml + patch_size_ml:day +
## (day | culture_ID)
## Data: filtered_data
## Control: lmerControl(optimizer = "Nelder_Mead")
##
## AIC BIC logLik deviance df.resid
## 199.3 218.7 -91.6 183.3 76
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.47 -0.69 -0.09 0.57 2.46
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## culture_ID (Intercept) 5e-02 0.23
## day 1e-04 0.01 -1.00
## Residual 5e-01 0.72
## Number of obs: 84, groups: culture_ID, 14
##
## Fixed effects:
## Estimate Std. Error t value
## (Intercept) 0.946 0.505 2
## day -0.062 0.026 -2
## patch_size_ml 0.137 0.019 7
## day:patch_size_ml -0.003 0.001 -3
##
## Correlation of Fixed Effects:
## (Intr) day ptch__
## day -0.940
## patch_sz_ml -0.891 0.838
## dy:ptch_sz_ 0.838 -0.891 -0.940
## optimizer (Nelder_Mead) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')#Create resid vs fitted
res_vs_fit = filtered_data %>%
mutate(predicted = fitted(full_model),
residuals = resid(full_model)) %>%
plot_ly(x = ~predicted,
y = ~residuals,
type = "scatter",
mode = "markers",
marker = list(size = 5, color = "#4C78A8"),
text = paste(" ID: ", filtered_data$culture_ID, "<br>",
"Day: ", filtered_data$day, "<br>",
"Patch Type: ", filtered_data$patch_type, "<br>",
"Biomass density: ", round(filtered_data$bioarea_mm2_per_ml, digits = 2), "<br>",
"Species richness: ", filtered_data$species_richness, "<br>"),
hoverinfo = "text") %>%
plotly::layout(
title = "Residuals vs. Fitted Values",
xaxis = list(title = "Fitted Values"),
yaxis = list(title = "Residuals")
)Click for residual plots
res_vs_fitqqnorm(resid(full_model))model_stats_full = compute.model.stats(full_model,
null_model,
"mixed_model")
model_stats_full %>%
mutate(deltaAIC = round(deltaAIC, digits = 1),
p_value = round(p_value, digits = 3),
R2 = NULL,
evidence = "",
evidence = ifelse(p_value > 0.1,
"none",
evidence),
evidence = ifelse(p_value < 0.1,
"* weak",
evidence),
evidence = ifelse(p_value < 0.05,
"** moderate",
evidence),
evidence = ifelse(p_value < 0.01,
"*** strong",
evidence),
evidence = ifelse(p_value < 0.001,
"**** very strong",
evidence),
p_value = ifelse(p_value < 0.001,
"< 0.001",
p_value)) %>%
print()## deltaAIC p_value evidence
## 1 -36.8 < 0.001 **** very strong
patch_size_ml)
reduced_model = lmer(
get(response_variable) ~
day +
patch_size_ml +
(day | culture_ID),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = "Nelder_Mead")
)Click for model output
print(summary(reduced_model), digits = 1)## Linear mixed model fit by maximum likelihood ['lmerMod']
## Formula: get(response_variable) ~ day + patch_size_ml + (day | culture_ID)
## Data: filtered_data
## Control: lmerControl(optimizer = "Nelder_Mead")
##
## AIC BIC logLik deviance df.resid
## 203.5 220.5 -94.8 189.5 77
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.1 -0.7 -0.1 0.7 2.4
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## culture_ID (Intercept) 0.431 0.66
## day 0.001 0.04 -1.00
## Residual 0.513 0.72
## Number of obs: 84, groups: culture_ID, 14
##
## Fixed effects:
## Estimate Std. Error t value
## (Intercept) 2.142 0.321 7
## day -0.127 0.015 -9
## patch_size_ml 0.086 0.007 13
##
## Correlation of Fixed Effects:
## (Intr) day
## day -0.843
## patch_sz_ml -0.480 0.000
## optimizer (Nelder_Mead) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')#Create resid vs fitted
res_vs_fit = filtered_data %>%
mutate(predicted = fitted(reduced_model),
residuals = resid(reduced_model)) %>%
plot_ly(x = ~predicted,
y = ~residuals,
type = "scatter",
mode = "markers",
marker = list(size = 5, color = "#4C78A8"),
text = paste(" ID: ", filtered_data$culture_ID, "<br>",
"Day: ", filtered_data$day, "<br>",
"Patch Type: ", filtered_data$patch_type, "<br>",
"Biomass density: ", round(filtered_data$bioarea_mm2_per_ml, digits = 2), "<br>",
"Species richness: ", filtered_data$species_richness, "<br>"),
hoverinfo = "text") %>%
plotly::layout(
title = "Residuals vs. Fitted Values",
xaxis = list(title = "Fitted Values"),
yaxis = list(title = "Residuals")
)Click for residual plots
res_vs_fitqqnorm(resid(reduced_model))model_stats_fixed = compute.model.stats(reduced_model,
null_model,
"mixed_model")
model_stats_fixed %>%
mutate(deltaAIC = round(deltaAIC, digits = 1),
p_value = round(p_value, digits = 3),
R2 = NULL,
evidence = "",
evidence = ifelse(p_value > 0.1,
"none",
evidence),
evidence = ifelse(p_value < 0.1,
"* weak",
evidence),
evidence = ifelse(p_value < 0.05,
"** moderate",
evidence),
evidence = ifelse(p_value < 0.01,
"*** strong",
evidence),
evidence = ifelse(p_value < 0.001,
"**** very strong",
evidence),
p_value = ifelse(p_value < 0.001,
"< 0.001",
p_value)) %>%
print()## deltaAIC p_value evidence
## 1 -32.5 < 0.001 **** very strongresults_table = fill.results.table(results_table,
response_variable,
patch_type_i,
model_stats_full,
model_stats_fixed)Shannon
response_variable = "shannon"plot.patches.points(ds_patches,
patch_type_i,
response_variable)
Click for boxplots instead of means
plot.patches.boxplots(patch_type_i,
response_variable)
save_results_in_table = TRUE
Filter
filtered_data = ds_patches %>%
filter(
metaecosystem == "no",
time_point >= first_time_point_model,
time_point <= last_time_point_model,
!is.na(!!sym(response_variable))
)Plot filtered data
plot.patches.points(filtered_data,
patch_type_i,
response_variable)
Analysis
null_model = lmer(
get(response_variable) ~
day +
(day | culture_ID),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = "Nelder_Mead")
)patch_size_ml and
patch_size_ml : day)
full_model = lmer(
get(response_variable) ~
day +
patch_size_ml +
patch_size_ml : day +
(day | culture_ID),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = "Nelder_Mead")
)Click for model output
print(summary(full_model), digits = 1)## Linear mixed model fit by maximum likelihood ['lmerMod']
## Formula: get(response_variable) ~ day + patch_size_ml + patch_size_ml:day +
## (day | culture_ID)
## Data: filtered_data
## Control: lmerControl(optimizer = "Nelder_Mead")
##
## AIC BIC logLik deviance df.resid
## 79.4 98.2 -31.7 63.4 70
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.1 -0.7 0.0 0.7 2.4
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## culture_ID (Intercept) 0e+00 0.000
## day 9e-05 0.009 NaN
## Residual 1e-01 0.334
## Number of obs: 78, groups: culture_ID, 14
##
## Fixed effects:
## Estimate Std. Error t value
## (Intercept) 1e+00 2e-01 5.8
## day -7e-02 2e-02 -4.4
## patch_size_ml -1e-03 9e-03 -0.1
## day:patch_size_ml 2e-03 5e-04 3.7
##
## Correlation of Fixed Effects:
## (Intr) day ptch__
## day -0.866
## patch_sz_ml -0.904 0.778
## dy:ptch_sz_ 0.792 -0.912 -0.860
## optimizer (Nelder_Mead) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')#Create resid vs fitted
res_vs_fit = filtered_data %>%
mutate(predicted = fitted(full_model),
residuals = resid(full_model)) %>%
plot_ly(x = ~predicted,
y = ~residuals,
type = "scatter",
mode = "markers",
marker = list(size = 5, color = "#4C78A8"),
text = paste(" ID: ", filtered_data$culture_ID, "<br>",
"Day: ", filtered_data$day, "<br>",
"Patch Type: ", filtered_data$patch_type, "<br>",
"Biomass density: ", round(filtered_data$bioarea_mm2_per_ml, digits = 2), "<br>",
"Species richness: ", filtered_data$species_richness, "<br>"),
hoverinfo = "text") %>%
plotly::layout(
title = "Residuals vs. Fitted Values",
xaxis = list(title = "Fitted Values"),
yaxis = list(title = "Residuals")
)Click for residual plots
res_vs_fitqqnorm(resid(full_model))model_stats_full = compute.model.stats(full_model,
null_model,
"mixed_model")
model_stats_full %>%
mutate(deltaAIC = round(deltaAIC, digits = 1),
p_value = round(p_value, digits = 3),
R2 = NULL,
evidence = "",
evidence = ifelse(p_value > 0.1,
"none",
evidence),
evidence = ifelse(p_value < 0.1,
"* weak",
evidence),
evidence = ifelse(p_value < 0.05,
"** moderate",
evidence),
evidence = ifelse(p_value < 0.01,
"*** strong",
evidence),
evidence = ifelse(p_value < 0.001,
"**** very strong",
evidence),
p_value = ifelse(p_value < 0.001,
"< 0.001",
p_value)) %>%
print()## deltaAIC p_value evidence
## 1 -18.5 < 0.001 **** very strong
patch_size_ml)
reduced_model = lmer(
get(response_variable) ~
day +
patch_size_ml +
(day | culture_ID),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = "Nelder_Mead")
)Click for model output
print(summary(reduced_model), digits = 1)## Linear mixed model fit by maximum likelihood ['lmerMod']
## Formula: get(response_variable) ~ day + patch_size_ml + (day | culture_ID)
## Data: filtered_data
## Control: lmerControl(optimizer = "Nelder_Mead")
##
## AIC BIC logLik deviance df.resid
## 84.8 101.3 -35.4 70.8 71
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.2 -0.6 -0.1 0.7 2.5
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## culture_ID (Intercept) 1e-01 0.34
## day 8e-04 0.03 -1.00
## Residual 1e-01 0.34
## Number of obs: 78, groups: culture_ID, 14
##
## Fixed effects:
## Estimate Std. Error t value
## (Intercept) 0.751 0.167 4
## day -0.017 0.010 -2
## patch_size_ml 0.027 0.004 7
##
## Correlation of Fixed Effects:
## (Intr) day
## day -0.786
## patch_sz_ml -0.542 -0.016
## optimizer (Nelder_Mead) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')#Create resid vs fitted
res_vs_fit = filtered_data %>%
mutate(predicted = fitted(reduced_model),
residuals = resid(reduced_model)) %>%
plot_ly(x = ~predicted,
y = ~residuals,
type = "scatter",
mode = "markers",
marker = list(size = 5, color = "#4C78A8"),
text = paste(" ID: ", filtered_data$culture_ID, "<br>",
"Day: ", filtered_data$day, "<br>",
"Patch Type: ", filtered_data$patch_type, "<br>",
"Biomass density: ", round(filtered_data$bioarea_mm2_per_ml, digits = 2), "<br>",
"Species richness: ", filtered_data$species_richness, "<br>"),
hoverinfo = "text") %>%
plotly::layout(
title = "Residuals vs. Fitted Values",
xaxis = list(title = "Fitted Values"),
yaxis = list(title = "Residuals")
)Click for residual plots
res_vs_fitqqnorm(resid(reduced_model))model_stats_fixed = compute.model.stats(reduced_model,
null_model,
"mixed_model")
model_stats_fixed %>%
mutate(deltaAIC = round(deltaAIC, digits = 1),
p_value = round(p_value, digits = 3),
R2 = NULL,
evidence = "",
evidence = ifelse(p_value > 0.1,
"none",
evidence),
evidence = ifelse(p_value < 0.1,
"* weak",
evidence),
evidence = ifelse(p_value < 0.05,
"** moderate",
evidence),
evidence = ifelse(p_value < 0.01,
"*** strong",
evidence),
evidence = ifelse(p_value < 0.001,
"**** very strong",
evidence),
p_value = ifelse(p_value < 0.001,
"< 0.001",
p_value)) %>%
print()## deltaAIC p_value evidence
## 1 -13.1 < 0.001 **** very strongresults_table = fill.results.table(results_table,
response_variable,
patch_type_i,
model_stats_full,
model_stats_fixed)Richness
response_variable = "species_richness"plot.patches.points(ds_patches,
patch_type_i,
response_variable)
Click for boxplots instead of means
plot.patches.boxplots(patch_type_i,
response_variable)
save_results_in_table = TRUE
Filter
filtered_data = ds_patches %>%
filter(
metaecosystem == "no",
time_point >= first_time_point_model,
time_point <= last_time_point_model,
!is.na(!!sym(response_variable))
)Plot filtered data
plot.patches.points(filtered_data,
patch_type_i,
response_variable)
Analysis
null_model = lmer(
get(response_variable) ~
day +
(day | culture_ID),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = "Nelder_Mead")
)patch_size_ml and
patch_size_ml : day)
full_model = lmer(
get(response_variable) ~
day +
patch_size_ml +
patch_size_ml : day +
(day | culture_ID),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = "Nelder_Mead")
)Click for model output
print(summary(full_model), digits = 1)## Linear mixed model fit by maximum likelihood ['lmerMod']
## Formula: get(response_variable) ~ day + patch_size_ml + patch_size_ml:day +
## (day | culture_ID)
## Data: filtered_data
## Control: lmerControl(optimizer = "Nelder_Mead")
##
## AIC BIC logLik deviance df.resid
## 315.9 335.4 -150.0 299.9 76
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.06 -0.72 -0.04 0.68 2.29
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## culture_ID (Intercept) 2e-01 0.403
## day 3e-06 0.002 1.00
## Residual 2e+00 1.388
## Number of obs: 84, groups: culture_ID, 14
##
## Fixed effects:
## Estimate Std. Error t value
## (Intercept) 6.170 0.972 6.4
## day -0.282 0.049 -5.8
## patch_size_ml 0.034 0.037 0.9
## day:patch_size_ml 0.007 0.002 3.9
##
## Correlation of Fixed Effects:
## (Intr) day ptch__
## day -0.901
## patch_sz_ml -0.891 0.804
## dy:ptch_sz_ 0.804 -0.891 -0.901
## optimizer (Nelder_Mead) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')#Create resid vs fitted
res_vs_fit = filtered_data %>%
mutate(predicted = fitted(full_model),
residuals = resid(full_model)) %>%
plot_ly(x = ~predicted,
y = ~residuals,
type = "scatter",
mode = "markers",
marker = list(size = 5, color = "#4C78A8"),
text = paste(" ID: ", filtered_data$culture_ID, "<br>",
"Day: ", filtered_data$day, "<br>",
"Patch Type: ", filtered_data$patch_type, "<br>",
"Biomass density: ", round(filtered_data$bioarea_mm2_per_ml, digits = 2), "<br>",
"Species richness: ", filtered_data$species_richness, "<br>"),
hoverinfo = "text") %>%
plotly::layout(
title = "Residuals vs. Fitted Values",
xaxis = list(title = "Fitted Values"),
yaxis = list(title = "Residuals")
)Click for residual plots
res_vs_fitqqnorm(resid(full_model))model_stats_full = compute.model.stats(full_model,
null_model,
"mixed_model")
model_stats_full %>%
mutate(deltaAIC = round(deltaAIC, digits = 1),
p_value = round(p_value, digits = 3),
R2 = NULL,
evidence = "",
evidence = ifelse(p_value > 0.1,
"none",
evidence),
evidence = ifelse(p_value < 0.1,
"* weak",
evidence),
evidence = ifelse(p_value < 0.05,
"** moderate",
evidence),
evidence = ifelse(p_value < 0.01,
"*** strong",
evidence),
evidence = ifelse(p_value < 0.001,
"**** very strong",
evidence),
p_value = ifelse(p_value < 0.001,
"< 0.001",
p_value)) %>%
print()## deltaAIC p_value evidence
## 1 -27.9 < 0.001 **** very strong
patch_size_ml)
reduced_model = lmer(
get(response_variable) ~
day +
patch_size_ml +
(day | culture_ID),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = "Nelder_Mead")
)Click for model output
print(summary(reduced_model), digits = 1)## Linear mixed model fit by maximum likelihood ['lmerMod']
## Formula: get(response_variable) ~ day + patch_size_ml + (day | culture_ID)
## Data: filtered_data
## Control: lmerControl(optimizer = "Nelder_Mead")
##
## AIC BIC logLik deviance df.resid
## 326.4 343.4 -156.2 312.4 77
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -1.9 -0.7 -0.1 0.7 2.2
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## culture_ID (Intercept) 1.384 1.18
## day 0.004 0.06 -0.94
## Residual 2.110 1.45
## Number of obs: 84, groups: culture_ID, 14
##
## Fixed effects:
## Estimate Std. Error t value
## (Intercept) 3.17 0.66 5
## day -0.11 0.03 -4
## patch_size_ml 0.16 0.02 10
##
## Correlation of Fixed Effects:
## (Intr) day
## day -0.773
## patch_sz_ml -0.566 0.000#Create resid vs fitted
res_vs_fit = filtered_data %>%
mutate(predicted = fitted(reduced_model),
residuals = resid(reduced_model)) %>%
plot_ly(x = ~predicted,
y = ~residuals,
type = "scatter",
mode = "markers",
marker = list(size = 5, color = "#4C78A8"),
text = paste(" ID: ", filtered_data$culture_ID, "<br>",
"Day: ", filtered_data$day, "<br>",
"Patch Type: ", filtered_data$patch_type, "<br>",
"Biomass density: ", round(filtered_data$bioarea_mm2_per_ml, digits = 2), "<br>",
"Species richness: ", filtered_data$species_richness, "<br>"),
hoverinfo = "text") %>%
plotly::layout(
title = "Residuals vs. Fitted Values",
xaxis = list(title = "Fitted Values"),
yaxis = list(title = "Residuals")
)Click for residual plots
res_vs_fitqqnorm(resid(reduced_model))model_stats_fixed = compute.model.stats(reduced_model,
null_model,
"mixed_model")
model_stats_fixed %>%
mutate(deltaAIC = round(deltaAIC, digits = 1),
p_value = round(p_value, digits = 3),
R2 = NULL,
evidence = "",
evidence = ifelse(p_value > 0.1,
"none",
evidence),
evidence = ifelse(p_value < 0.1,
"* weak",
evidence),
evidence = ifelse(p_value < 0.05,
"** moderate",
evidence),
evidence = ifelse(p_value < 0.01,
"*** strong",
evidence),
evidence = ifelse(p_value < 0.001,
"**** very strong",
evidence),
p_value = ifelse(p_value < 0.001,
"< 0.001",
p_value)) %>%
print()## deltaAIC p_value evidence
## 1 -17.4 < 0.001 **** very strongresults_table = fill.results.table(results_table,
response_variable,
patch_type_i,
model_stats_full,
model_stats_fixed)Evenness
response_variable = "evenness_pielou"plot.patches.points(ds_patches,
patch_type_i,
response_variable)
Click for boxplots instead of means
plot.patches.boxplots(patch_type_i,
response_variable)
save_results_in_table = TRUE
Filter
filtered_data = ds_patches %>%
filter(
metaecosystem == "no",
time_point >= first_time_point_model,
time_point <= last_time_point_model,
!is.na(!!sym(response_variable))
)Plot filtered data
plot.patches.points(filtered_data,
patch_type_i,
response_variable)
Analysis
null_model = lmer(
get(response_variable) ~
day +
(day | culture_ID),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = "Nelder_Mead")
)patch_size_ml and
patch_size_ml : day)
full_model = lmer(
get(response_variable) ~
day +
patch_size_ml +
patch_size_ml : day +
(day | culture_ID),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = "Nelder_Mead")
)Click for model output
print(summary(full_model), digits = 1)## Linear mixed model fit by maximum likelihood ['lmerMod']
## Formula: get(response_variable) ~ day + patch_size_ml + patch_size_ml:day +
## (day | culture_ID)
## Data: filtered_data
## Control: lmerControl(optimizer = "Nelder_Mead")
##
## AIC BIC logLik deviance df.resid
## -38.1 -19.7 27.1 -54.1 66
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.6 -0.5 0.1 0.5 2.9
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## culture_ID (Intercept) 5e-02 0.22
## day 3e-04 0.02 -1.00
## Residual 2e-02 0.14
## Number of obs: 74, groups: culture_ID, 14
##
## Fixed effects:
## Estimate Std. Error t value
## (Intercept) 1e+00 2e-01 7
## day -4e-02 1e-02 -4
## patch_size_ml -1e-02 6e-03 -2
## day:patch_size_ml 1e-03 4e-04 3
##
## Correlation of Fixed Effects:
## (Intr) day ptch__
## day -0.963
## patch_sz_ml -0.897 0.864
## dy:ptch_sz_ 0.863 -0.896 -0.965
## optimizer (Nelder_Mead) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')#Create resid vs fitted
res_vs_fit = filtered_data %>%
mutate(predicted = fitted(full_model),
residuals = resid(full_model)) %>%
plot_ly(x = ~predicted,
y = ~residuals,
type = "scatter",
mode = "markers",
marker = list(size = 5, color = "#4C78A8"),
text = paste(" ID: ", filtered_data$culture_ID, "<br>",
"Day: ", filtered_data$day, "<br>",
"Patch Type: ", filtered_data$patch_type, "<br>",
"Biomass density: ", round(filtered_data$bioarea_mm2_per_ml, digits = 2), "<br>",
"Species richness: ", filtered_data$species_richness, "<br>"),
hoverinfo = "text") %>%
plotly::layout(
title = "Residuals vs. Fitted Values",
xaxis = list(title = "Fitted Values"),
yaxis = list(title = "Residuals")
)Click for residual plots
res_vs_fitqqnorm(resid(full_model))model_stats_full = compute.model.stats(full_model,
null_model,
"mixed_model")
model_stats_full %>%
mutate(deltaAIC = round(deltaAIC, digits = 1),
p_value = round(p_value, digits = 3),
R2 = NULL,
evidence = "",
evidence = ifelse(p_value > 0.1,
"none",
evidence),
evidence = ifelse(p_value < 0.1,
"* weak",
evidence),
evidence = ifelse(p_value < 0.05,
"** moderate",
evidence),
evidence = ifelse(p_value < 0.01,
"*** strong",
evidence),
evidence = ifelse(p_value < 0.001,
"**** very strong",
evidence),
p_value = ifelse(p_value < 0.001,
"< 0.001",
p_value)) %>%
print()## deltaAIC p_value evidence
## 1 -11.6 < 0.001 **** very strong
patch_size_ml)
reduced_model = lmer(
get(response_variable) ~
day +
patch_size_ml +
(day | culture_ID),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = "Nelder_Mead")
)Click for model output
print(summary(reduced_model), digits = 1)## Linear mixed model fit by maximum likelihood ['lmerMod']
## Formula: get(response_variable) ~ day + patch_size_ml + (day | culture_ID)
## Data: filtered_data
## Control: lmerControl(optimizer = "Nelder_Mead")
##
## AIC BIC logLik deviance df.resid
## -31.7 -15.6 22.9 -45.7 67
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.6 -0.6 0.2 0.5 2.9
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## culture_ID (Intercept) 1e-01 0.33
## day 6e-04 0.02 -1.00
## Residual 2e-02 0.14
## Number of obs: 74, groups: culture_ID, 14
##
## Fixed effects:
## Estimate Std. Error t value
## (Intercept) 0.668 0.107 6
## day -0.008 0.007 -1
## patch_size_ml 0.006 0.002 4
##
## Correlation of Fixed Effects:
## (Intr) day
## day -0.905
## patch_sz_ml -0.381 -0.006
## optimizer (Nelder_Mead) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')#Create resid vs fitted
res_vs_fit = filtered_data %>%
mutate(predicted = fitted(reduced_model),
residuals = resid(reduced_model)) %>%
plot_ly(x = ~predicted,
y = ~residuals,
type = "scatter",
mode = "markers",
marker = list(size = 5, color = "#4C78A8"),
text = paste(" ID: ", filtered_data$culture_ID, "<br>",
"Day: ", filtered_data$day, "<br>",
"Patch Type: ", filtered_data$patch_type, "<br>",
"Biomass density: ", round(filtered_data$bioarea_mm2_per_ml, digits = 2), "<br>",
"Species richness: ", filtered_data$species_richness, "<br>"),
hoverinfo = "text") %>%
plotly::layout(
title = "Residuals vs. Fitted Values",
xaxis = list(title = "Fitted Values"),
yaxis = list(title = "Residuals")
)Click for residual plots
res_vs_fitqqnorm(resid(reduced_model))model_stats_fixed = compute.model.stats(reduced_model,
null_model,
"mixed_model")
model_stats_fixed %>%
mutate(deltaAIC = round(deltaAIC, digits = 1),
p_value = round(p_value, digits = 3),
R2 = NULL,
evidence = "",
evidence = ifelse(p_value > 0.1,
"none",
evidence),
evidence = ifelse(p_value < 0.1,
"* weak",
evidence),
evidence = ifelse(p_value < 0.05,
"** moderate",
evidence),
evidence = ifelse(p_value < 0.01,
"*** strong",
evidence),
evidence = ifelse(p_value < 0.001,
"**** very strong",
evidence),
p_value = ifelse(p_value < 0.001,
"< 0.001",
p_value)) %>%
print()## deltaAIC p_value evidence
## 1 -5.2 0.007 *** strongresults_table = fill.results.table(results_table,
response_variable,
patch_type_i,
model_stats_full,
model_stats_fixed)Median Size
response_variable = "median_body_area_µm2"plot.patches.points(ds_patches,
patch_type_i,
response_variable)
Click for boxplots instead of means
plot.patches.boxplots(patch_type_i,
response_variable)
save_results_in_table = TRUE
Filter
filtered_data = ds_patches %>%
filter(
metaecosystem == "no",
time_point >= first_time_point_model,
time_point <= last_time_point_model,
!is.na(!!sym(response_variable))
)Plot filtered data
plot.patches.points(filtered_data,
patch_type_i,
response_variable)
Analysis
null_model = lmer(
get(response_variable) ~
day +
(day | culture_ID),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = "Nelder_Mead")
)patch_size_ml and
patch_size_ml : day)
full_model = lmer(
get(response_variable) ~
day +
patch_size_ml +
patch_size_ml : day +
(day | culture_ID),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = "Nelder_Mead")
)Click for model output
print(summary(full_model), digits = 1)## Linear mixed model fit by maximum likelihood ['lmerMod']
## Formula: get(response_variable) ~ day + patch_size_ml + patch_size_ml:day +
## (day | culture_ID)
## Data: filtered_data
## Control: lmerControl(optimizer = "Nelder_Mead")
##
## AIC BIC logLik deviance df.resid
## 1286.8 1305.6 -635.4 1270.8 70
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.9 -0.5 0.0 0.5 3.0
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## culture_ID (Intercept) 2e+05 402
## day 4e+00 2 -1.00
## Residual 6e+05 776
## Number of obs: 78, groups: culture_ID, 14
##
## Fixed effects:
## Estimate Std. Error t value
## (Intercept) 1985 620 3
## day 80 32 2
## patch_size_ml 41 23 2
## day:patch_size_ml -2 1 -2
##
## Correlation of Fixed Effects:
## (Intr) day ptch__
## day -0.872
## patch_sz_ml -0.902 0.781
## dy:ptch_sz_ 0.803 -0.914 -0.870
## optimizer (Nelder_Mead) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')#Create resid vs fitted
res_vs_fit = filtered_data %>%
mutate(predicted = fitted(full_model),
residuals = resid(full_model)) %>%
plot_ly(x = ~predicted,
y = ~residuals,
type = "scatter",
mode = "markers",
marker = list(size = 5, color = "#4C78A8"),
text = paste(" ID: ", filtered_data$culture_ID, "<br>",
"Day: ", filtered_data$day, "<br>",
"Patch Type: ", filtered_data$patch_type, "<br>",
"Biomass density: ", round(filtered_data$bioarea_mm2_per_ml, digits = 2), "<br>",
"Species richness: ", filtered_data$species_richness, "<br>"),
hoverinfo = "text") %>%
plotly::layout(
title = "Residuals vs. Fitted Values",
xaxis = list(title = "Fitted Values"),
yaxis = list(title = "Residuals")
)Click for residual plots
res_vs_fitqqnorm(resid(full_model))model_stats_full = compute.model.stats(full_model,
null_model,
"mixed_model")
model_stats_full %>%
mutate(deltaAIC = round(deltaAIC, digits = 1),
p_value = round(p_value, digits = 3),
R2 = NULL,
evidence = "",
evidence = ifelse(p_value > 0.1,
"none",
evidence),
evidence = ifelse(p_value < 0.1,
"* weak",
evidence),
evidence = ifelse(p_value < 0.05,
"** moderate",
evidence),
evidence = ifelse(p_value < 0.01,
"*** strong",
evidence),
evidence = ifelse(p_value < 0.001,
"**** very strong",
evidence),
p_value = ifelse(p_value < 0.001,
"< 0.001",
p_value)) %>%
print()## deltaAIC p_value evidence
## 1 0 0.133 none
patch_size_ml)
reduced_model = lmer(
get(response_variable) ~
day +
patch_size_ml +
(day | culture_ID),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = "Nelder_Mead")
)Click for model output
print(summary(reduced_model), digits = 1)## Linear mixed model fit by maximum likelihood ['lmerMod']
## Formula: get(response_variable) ~ day + patch_size_ml + (day | culture_ID)
## Data: filtered_data
## Control: lmerControl(optimizer = "Nelder_Mead")
##
## AIC BIC logLik deviance df.resid
## 1288.8 1305.3 -637.4 1274.8 71
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.02 -0.31 0.07 0.49 2.91
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## culture_ID (Intercept) 2e+05 467
## day 2e+02 14 -0.59
## Residual 6e+05 790
## Number of obs: 78, groups: culture_ID, 14
##
## Fixed effects:
## Estimate Std. Error t value
## (Intercept) 3e+03 4e+02 7.8
## day 2e+01 1e+01 1.5
## patch_size_ml 9e-01 1e+01 0.1
##
## Correlation of Fixed Effects:
## (Intr) day
## day -0.586
## patch_sz_ml -0.684 -0.072#Create resid vs fitted
res_vs_fit = filtered_data %>%
mutate(predicted = fitted(reduced_model),
residuals = resid(reduced_model)) %>%
plot_ly(x = ~predicted,
y = ~residuals,
type = "scatter",
mode = "markers",
marker = list(size = 5, color = "#4C78A8"),
text = paste(" ID: ", filtered_data$culture_ID, "<br>",
"Day: ", filtered_data$day, "<br>",
"Patch Type: ", filtered_data$patch_type, "<br>",
"Biomass density: ", round(filtered_data$bioarea_mm2_per_ml, digits = 2), "<br>",
"Species richness: ", filtered_data$species_richness, "<br>"),
hoverinfo = "text") %>%
plotly::layout(
title = "Residuals vs. Fitted Values",
xaxis = list(title = "Fitted Values"),
yaxis = list(title = "Residuals")
)Click for residual plots
res_vs_fitqqnorm(resid(reduced_model))model_stats_fixed = compute.model.stats(reduced_model,
null_model,
"mixed_model")
model_stats_fixed %>%
mutate(deltaAIC = round(deltaAIC, digits = 1),
p_value = round(p_value, digits = 3),
R2 = NULL,
evidence = "",
evidence = ifelse(p_value > 0.1,
"none",
evidence),
evidence = ifelse(p_value < 0.1,
"* weak",
evidence),
evidence = ifelse(p_value < 0.05,
"** moderate",
evidence),
evidence = ifelse(p_value < 0.01,
"*** strong",
evidence),
evidence = ifelse(p_value < 0.001,
"**** very strong",
evidence),
p_value = ifelse(p_value < 0.001,
"< 0.001",
p_value)) %>%
print()## deltaAIC p_value evidence
## 1 2 0.948 noneresults_table = fill.results.table(results_table,
response_variable,
patch_type_i,
model_stats_full,
model_stats_fixed)Populations
for(patch_type_i in patch_type_i){
print(patch_type_i)
p = ds_patches %>%
filter(patch_type == patch_type_i) %>%
group_by(day) %>%
summarise(
Ble = mean(Ble_indiv_per_ml_dominance, na.rm = TRUE),
# Ble_se = sd(Ble_indiv_per_ml_dominance, na.rm = TRUE) / sqrt(n()),
# Ble_ci = qt(c(0.025, 0.975), df = n() - 1) * Ble_se,
Cep = mean(Cep_indiv_per_ml_dominance, na.rm = TRUE),
Col = mean(Col_indiv_per_ml_dominance, na.rm = TRUE),
Eup = mean(Eup_indiv_per_ml_dominance, na.rm = TRUE),
Lox = mean(Lox_indiv_per_ml_dominance, na.rm = TRUE),
Pau = mean(Pau_indiv_per_ml_dominance, na.rm = TRUE),
Pca = mean(Pca_indiv_per_ml_dominance, na.rm = TRUE),
Spi = mean(Spi_indiv_per_ml_dominance, na.rm = TRUE),
Spi_te = mean(Spi_te_indiv_per_ml_dominance, na.rm = TRUE),
Tet = mean(Tet_indiv_per_ml_dominance, na.rm = TRUE)
) %>%
pivot_longer(Ble:Tet, names_to = "species", values_to = "species_indiv_per_ml") %>%
ggplot(aes(
x = day,
y = species_indiv_per_ml,
group = interaction(day, species),
color = species
)) +
geom_point(position = position_dodge(dodging),
size = treatment_points_size) +
geom_line(
aes(group = species),
position = position_dodge(dodging),
linewidth = treatment_lines_linewidth) +
labs(x = axis_names %>%
filter(variable == "day") %>%
pull(axis_name),
y = axis_names %>%
filter(variable == "dominance") %>%
pull(axis_name)) +
coord_cartesian(ylim = c(0, 100))
print(p)
}## [1] "Medium isolated"
## [1] "Medium connected to medium"
Large patches
patch_type_i = c("Large connected to large",
"Large connected to small",
"Large isolated")Biomass
response_variable = "bioarea_mm2_per_ml"plot.patches.points(ds_patches,
patch_type_i,
response_variable)
Click for boxplots instead of means
plot.patches.boxplots(patch_type_i,
response_variable)
save_results_in_table = TRUE
Filter
filtered_data = ds_patches %>%
filter(
metaecosystem == "no",
time_point >= first_time_point_model,
time_point <= last_time_point_model,
!is.na(!!sym(response_variable))
)Plot filtered data
plot.patches.points(filtered_data,
patch_type_i,
response_variable)
Analysis
null_model = lmer(
get(response_variable) ~
day +
(day | culture_ID),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = "Nelder_Mead")
)patch_size_ml and
patch_size_ml : day)
full_model = lmer(
get(response_variable) ~
day +
patch_size_ml +
patch_size_ml : day +
(day | culture_ID),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = "Nelder_Mead")
)Click for model output
print(summary(full_model), digits = 1)## Linear mixed model fit by maximum likelihood ['lmerMod']
## Formula: get(response_variable) ~ day + patch_size_ml + patch_size_ml:day +
## (day | culture_ID)
## Data: filtered_data
## Control: lmerControl(optimizer = "Nelder_Mead")
##
## AIC BIC logLik deviance df.resid
## 199.3 218.7 -91.6 183.3 76
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.47 -0.69 -0.09 0.57 2.46
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## culture_ID (Intercept) 5e-02 0.23
## day 1e-04 0.01 -1.00
## Residual 5e-01 0.72
## Number of obs: 84, groups: culture_ID, 14
##
## Fixed effects:
## Estimate Std. Error t value
## (Intercept) 0.946 0.505 2
## day -0.062 0.026 -2
## patch_size_ml 0.137 0.019 7
## day:patch_size_ml -0.003 0.001 -3
##
## Correlation of Fixed Effects:
## (Intr) day ptch__
## day -0.940
## patch_sz_ml -0.891 0.838
## dy:ptch_sz_ 0.838 -0.891 -0.940
## optimizer (Nelder_Mead) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')#Create resid vs fitted
res_vs_fit = filtered_data %>%
mutate(predicted = fitted(full_model),
residuals = resid(full_model)) %>%
plot_ly(x = ~predicted,
y = ~residuals,
type = "scatter",
mode = "markers",
marker = list(size = 5, color = "#4C78A8"),
text = paste(" ID: ", filtered_data$culture_ID, "<br>",
"Day: ", filtered_data$day, "<br>",
"Patch Type: ", filtered_data$patch_type, "<br>",
"Biomass density: ", round(filtered_data$bioarea_mm2_per_ml, digits = 2), "<br>",
"Species richness: ", filtered_data$species_richness, "<br>"),
hoverinfo = "text") %>%
plotly::layout(
title = "Residuals vs. Fitted Values",
xaxis = list(title = "Fitted Values"),
yaxis = list(title = "Residuals")
)Click for residual plots
res_vs_fitqqnorm(resid(full_model))model_stats_full = compute.model.stats(full_model,
null_model,
"mixed_model")
model_stats_full %>%
mutate(deltaAIC = round(deltaAIC, digits = 1),
p_value = round(p_value, digits = 3),
R2 = NULL,
evidence = "",
evidence = ifelse(p_value > 0.1,
"none",
evidence),
evidence = ifelse(p_value < 0.1,
"* weak",
evidence),
evidence = ifelse(p_value < 0.05,
"** moderate",
evidence),
evidence = ifelse(p_value < 0.01,
"*** strong",
evidence),
evidence = ifelse(p_value < 0.001,
"**** very strong",
evidence),
p_value = ifelse(p_value < 0.001,
"< 0.001",
p_value)) %>%
print()## deltaAIC p_value evidence
## 1 -36.8 < 0.001 **** very strong
patch_size_ml)
reduced_model = lmer(
get(response_variable) ~
day +
patch_size_ml +
(day | culture_ID),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = "Nelder_Mead")
)Click for model output
print(summary(reduced_model), digits = 1)## Linear mixed model fit by maximum likelihood ['lmerMod']
## Formula: get(response_variable) ~ day + patch_size_ml + (day | culture_ID)
## Data: filtered_data
## Control: lmerControl(optimizer = "Nelder_Mead")
##
## AIC BIC logLik deviance df.resid
## 203.5 220.5 -94.8 189.5 77
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.1 -0.7 -0.1 0.7 2.4
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## culture_ID (Intercept) 0.431 0.66
## day 0.001 0.04 -1.00
## Residual 0.513 0.72
## Number of obs: 84, groups: culture_ID, 14
##
## Fixed effects:
## Estimate Std. Error t value
## (Intercept) 2.142 0.321 7
## day -0.127 0.015 -9
## patch_size_ml 0.086 0.007 13
##
## Correlation of Fixed Effects:
## (Intr) day
## day -0.843
## patch_sz_ml -0.480 0.000
## optimizer (Nelder_Mead) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')#Create resid vs fitted
res_vs_fit = filtered_data %>%
mutate(predicted = fitted(reduced_model),
residuals = resid(reduced_model)) %>%
plot_ly(x = ~predicted,
y = ~residuals,
type = "scatter",
mode = "markers",
marker = list(size = 5, color = "#4C78A8"),
text = paste(" ID: ", filtered_data$culture_ID, "<br>",
"Day: ", filtered_data$day, "<br>",
"Patch Type: ", filtered_data$patch_type, "<br>",
"Biomass density: ", round(filtered_data$bioarea_mm2_per_ml, digits = 2), "<br>",
"Species richness: ", filtered_data$species_richness, "<br>"),
hoverinfo = "text") %>%
plotly::layout(
title = "Residuals vs. Fitted Values",
xaxis = list(title = "Fitted Values"),
yaxis = list(title = "Residuals")
)Click for residual plots
res_vs_fitqqnorm(resid(reduced_model))model_stats_fixed = compute.model.stats(reduced_model,
null_model,
"mixed_model")
model_stats_fixed %>%
mutate(deltaAIC = round(deltaAIC, digits = 1),
p_value = round(p_value, digits = 3),
R2 = NULL,
evidence = "",
evidence = ifelse(p_value > 0.1,
"none",
evidence),
evidence = ifelse(p_value < 0.1,
"* weak",
evidence),
evidence = ifelse(p_value < 0.05,
"** moderate",
evidence),
evidence = ifelse(p_value < 0.01,
"*** strong",
evidence),
evidence = ifelse(p_value < 0.001,
"**** very strong",
evidence),
p_value = ifelse(p_value < 0.001,
"< 0.001",
p_value)) %>%
print()## deltaAIC p_value evidence
## 1 -32.5 < 0.001 **** very strongresults_table = fill.results.table(results_table,
response_variable,
patch_type_i,
model_stats_full,
model_stats_fixed)Shannon
response_variable = "shannon"plot.patches.points(ds_patches,
patch_type_i,
response_variable)
Click for boxplots instead of means
plot.patches.boxplots(patch_type_i,
response_variable)
save_results_in_table = TRUE
Filter
filtered_data = ds_patches %>%
filter(
metaecosystem == "no",
time_point >= first_time_point_model,
time_point <= last_time_point_model,
!is.na(!!sym(response_variable))
)Plot filtered data
plot.patches.points(filtered_data,
patch_type_i,
response_variable)
Analysis
null_model = lmer(
get(response_variable) ~
day +
(day | culture_ID),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = "Nelder_Mead")
)patch_size_ml and
patch_size_ml : day)
full_model = lmer(
get(response_variable) ~
day +
patch_size_ml +
patch_size_ml : day +
(day | culture_ID),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = "Nelder_Mead")
)Click for model output
print(summary(full_model), digits = 1)## Linear mixed model fit by maximum likelihood ['lmerMod']
## Formula: get(response_variable) ~ day + patch_size_ml + patch_size_ml:day +
## (day | culture_ID)
## Data: filtered_data
## Control: lmerControl(optimizer = "Nelder_Mead")
##
## AIC BIC logLik deviance df.resid
## 79.4 98.2 -31.7 63.4 70
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.1 -0.7 0.0 0.7 2.4
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## culture_ID (Intercept) 0e+00 0.000
## day 9e-05 0.009 NaN
## Residual 1e-01 0.334
## Number of obs: 78, groups: culture_ID, 14
##
## Fixed effects:
## Estimate Std. Error t value
## (Intercept) 1e+00 2e-01 5.8
## day -7e-02 2e-02 -4.4
## patch_size_ml -1e-03 9e-03 -0.1
## day:patch_size_ml 2e-03 5e-04 3.7
##
## Correlation of Fixed Effects:
## (Intr) day ptch__
## day -0.866
## patch_sz_ml -0.904 0.778
## dy:ptch_sz_ 0.792 -0.912 -0.860
## optimizer (Nelder_Mead) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')#Create resid vs fitted
res_vs_fit = filtered_data %>%
mutate(predicted = fitted(full_model),
residuals = resid(full_model)) %>%
plot_ly(x = ~predicted,
y = ~residuals,
type = "scatter",
mode = "markers",
marker = list(size = 5, color = "#4C78A8"),
text = paste(" ID: ", filtered_data$culture_ID, "<br>",
"Day: ", filtered_data$day, "<br>",
"Patch Type: ", filtered_data$patch_type, "<br>",
"Biomass density: ", round(filtered_data$bioarea_mm2_per_ml, digits = 2), "<br>",
"Species richness: ", filtered_data$species_richness, "<br>"),
hoverinfo = "text") %>%
plotly::layout(
title = "Residuals vs. Fitted Values",
xaxis = list(title = "Fitted Values"),
yaxis = list(title = "Residuals")
)Click for residual plots
res_vs_fitqqnorm(resid(full_model))model_stats_full = compute.model.stats(full_model,
null_model,
"mixed_model")
model_stats_full %>%
mutate(deltaAIC = round(deltaAIC, digits = 1),
p_value = round(p_value, digits = 3),
R2 = NULL,
evidence = "",
evidence = ifelse(p_value > 0.1,
"none",
evidence),
evidence = ifelse(p_value < 0.1,
"* weak",
evidence),
evidence = ifelse(p_value < 0.05,
"** moderate",
evidence),
evidence = ifelse(p_value < 0.01,
"*** strong",
evidence),
evidence = ifelse(p_value < 0.001,
"**** very strong",
evidence),
p_value = ifelse(p_value < 0.001,
"< 0.001",
p_value)) %>%
print()## deltaAIC p_value evidence
## 1 -18.5 < 0.001 **** very strong
patch_size_ml)
reduced_model = lmer(
get(response_variable) ~
day +
patch_size_ml +
(day | culture_ID),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = "Nelder_Mead")
)Click for model output
print(summary(reduced_model), digits = 1)## Linear mixed model fit by maximum likelihood ['lmerMod']
## Formula: get(response_variable) ~ day + patch_size_ml + (day | culture_ID)
## Data: filtered_data
## Control: lmerControl(optimizer = "Nelder_Mead")
##
## AIC BIC logLik deviance df.resid
## 84.8 101.3 -35.4 70.8 71
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.2 -0.6 -0.1 0.7 2.5
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## culture_ID (Intercept) 1e-01 0.34
## day 8e-04 0.03 -1.00
## Residual 1e-01 0.34
## Number of obs: 78, groups: culture_ID, 14
##
## Fixed effects:
## Estimate Std. Error t value
## (Intercept) 0.751 0.167 4
## day -0.017 0.010 -2
## patch_size_ml 0.027 0.004 7
##
## Correlation of Fixed Effects:
## (Intr) day
## day -0.786
## patch_sz_ml -0.542 -0.016
## optimizer (Nelder_Mead) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')#Create resid vs fitted
res_vs_fit = filtered_data %>%
mutate(predicted = fitted(reduced_model),
residuals = resid(reduced_model)) %>%
plot_ly(x = ~predicted,
y = ~residuals,
type = "scatter",
mode = "markers",
marker = list(size = 5, color = "#4C78A8"),
text = paste(" ID: ", filtered_data$culture_ID, "<br>",
"Day: ", filtered_data$day, "<br>",
"Patch Type: ", filtered_data$patch_type, "<br>",
"Biomass density: ", round(filtered_data$bioarea_mm2_per_ml, digits = 2), "<br>",
"Species richness: ", filtered_data$species_richness, "<br>"),
hoverinfo = "text") %>%
plotly::layout(
title = "Residuals vs. Fitted Values",
xaxis = list(title = "Fitted Values"),
yaxis = list(title = "Residuals")
)Click for residual plots
res_vs_fitqqnorm(resid(reduced_model))model_stats_fixed = compute.model.stats(reduced_model,
null_model,
"mixed_model")
model_stats_fixed %>%
mutate(deltaAIC = round(deltaAIC, digits = 1),
p_value = round(p_value, digits = 3),
R2 = NULL,
evidence = "",
evidence = ifelse(p_value > 0.1,
"none",
evidence),
evidence = ifelse(p_value < 0.1,
"* weak",
evidence),
evidence = ifelse(p_value < 0.05,
"** moderate",
evidence),
evidence = ifelse(p_value < 0.01,
"*** strong",
evidence),
evidence = ifelse(p_value < 0.001,
"**** very strong",
evidence),
p_value = ifelse(p_value < 0.001,
"< 0.001",
p_value)) %>%
print()## deltaAIC p_value evidence
## 1 -13.1 < 0.001 **** very strongresults_table = fill.results.table(results_table,
response_variable,
patch_type_i,
model_stats_full,
model_stats_fixed)Richness
response_variable = "species_richness"plot.patches.points(ds_patches,
patch_type_i,
response_variable)
Click for boxplots instead of means
plot.patches.boxplots(patch_type_i,
response_variable)
save_results_in_table = TRUE
Filter
filtered_data = ds_patches %>%
filter(
metaecosystem == "no",
time_point >= first_time_point_model,
time_point <= last_time_point_model,
!is.na(!!sym(response_variable))
)Plot filtered data
plot.patches.points(filtered_data,
patch_type_i,
response_variable)
Analysis
null_model = lmer(
get(response_variable) ~
day +
(day | culture_ID),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = "Nelder_Mead")
)patch_size_ml and
patch_size_ml : day)
full_model = lmer(
get(response_variable) ~
day +
patch_size_ml +
patch_size_ml : day +
(day | culture_ID),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = "Nelder_Mead")
)Click for model output
print(summary(full_model), digits = 1)## Linear mixed model fit by maximum likelihood ['lmerMod']
## Formula: get(response_variable) ~ day + patch_size_ml + patch_size_ml:day +
## (day | culture_ID)
## Data: filtered_data
## Control: lmerControl(optimizer = "Nelder_Mead")
##
## AIC BIC logLik deviance df.resid
## 315.9 335.4 -150.0 299.9 76
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.06 -0.72 -0.04 0.68 2.29
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## culture_ID (Intercept) 2e-01 0.403
## day 3e-06 0.002 1.00
## Residual 2e+00 1.388
## Number of obs: 84, groups: culture_ID, 14
##
## Fixed effects:
## Estimate Std. Error t value
## (Intercept) 6.170 0.972 6.4
## day -0.282 0.049 -5.8
## patch_size_ml 0.034 0.037 0.9
## day:patch_size_ml 0.007 0.002 3.9
##
## Correlation of Fixed Effects:
## (Intr) day ptch__
## day -0.901
## patch_sz_ml -0.891 0.804
## dy:ptch_sz_ 0.804 -0.891 -0.901
## optimizer (Nelder_Mead) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')#Create resid vs fitted
res_vs_fit = filtered_data %>%
mutate(predicted = fitted(full_model),
residuals = resid(full_model)) %>%
plot_ly(x = ~predicted,
y = ~residuals,
type = "scatter",
mode = "markers",
marker = list(size = 5, color = "#4C78A8"),
text = paste(" ID: ", filtered_data$culture_ID, "<br>",
"Day: ", filtered_data$day, "<br>",
"Patch Type: ", filtered_data$patch_type, "<br>",
"Biomass density: ", round(filtered_data$bioarea_mm2_per_ml, digits = 2), "<br>",
"Species richness: ", filtered_data$species_richness, "<br>"),
hoverinfo = "text") %>%
plotly::layout(
title = "Residuals vs. Fitted Values",
xaxis = list(title = "Fitted Values"),
yaxis = list(title = "Residuals")
)Click for residual plots
res_vs_fitqqnorm(resid(full_model))model_stats_full = compute.model.stats(full_model,
null_model,
"mixed_model")
model_stats_full %>%
mutate(deltaAIC = round(deltaAIC, digits = 1),
p_value = round(p_value, digits = 3),
R2 = NULL,
evidence = "",
evidence = ifelse(p_value > 0.1,
"none",
evidence),
evidence = ifelse(p_value < 0.1,
"* weak",
evidence),
evidence = ifelse(p_value < 0.05,
"** moderate",
evidence),
evidence = ifelse(p_value < 0.01,
"*** strong",
evidence),
evidence = ifelse(p_value < 0.001,
"**** very strong",
evidence),
p_value = ifelse(p_value < 0.001,
"< 0.001",
p_value)) %>%
print()## deltaAIC p_value evidence
## 1 -27.9 < 0.001 **** very strong
patch_size_ml)
reduced_model = lmer(
get(response_variable) ~
day +
patch_size_ml +
(day | culture_ID),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = "Nelder_Mead")
)Click for model output
print(summary(reduced_model), digits = 1)## Linear mixed model fit by maximum likelihood ['lmerMod']
## Formula: get(response_variable) ~ day + patch_size_ml + (day | culture_ID)
## Data: filtered_data
## Control: lmerControl(optimizer = "Nelder_Mead")
##
## AIC BIC logLik deviance df.resid
## 326.4 343.4 -156.2 312.4 77
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -1.9 -0.7 -0.1 0.7 2.2
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## culture_ID (Intercept) 1.384 1.18
## day 0.004 0.06 -0.94
## Residual 2.110 1.45
## Number of obs: 84, groups: culture_ID, 14
##
## Fixed effects:
## Estimate Std. Error t value
## (Intercept) 3.17 0.66 5
## day -0.11 0.03 -4
## patch_size_ml 0.16 0.02 10
##
## Correlation of Fixed Effects:
## (Intr) day
## day -0.773
## patch_sz_ml -0.566 0.000#Create resid vs fitted
res_vs_fit = filtered_data %>%
mutate(predicted = fitted(reduced_model),
residuals = resid(reduced_model)) %>%
plot_ly(x = ~predicted,
y = ~residuals,
type = "scatter",
mode = "markers",
marker = list(size = 5, color = "#4C78A8"),
text = paste(" ID: ", filtered_data$culture_ID, "<br>",
"Day: ", filtered_data$day, "<br>",
"Patch Type: ", filtered_data$patch_type, "<br>",
"Biomass density: ", round(filtered_data$bioarea_mm2_per_ml, digits = 2), "<br>",
"Species richness: ", filtered_data$species_richness, "<br>"),
hoverinfo = "text") %>%
plotly::layout(
title = "Residuals vs. Fitted Values",
xaxis = list(title = "Fitted Values"),
yaxis = list(title = "Residuals")
)Click for residual plots
res_vs_fitqqnorm(resid(reduced_model))model_stats_fixed = compute.model.stats(reduced_model,
null_model,
"mixed_model")
model_stats_fixed %>%
mutate(deltaAIC = round(deltaAIC, digits = 1),
p_value = round(p_value, digits = 3),
R2 = NULL,
evidence = "",
evidence = ifelse(p_value > 0.1,
"none",
evidence),
evidence = ifelse(p_value < 0.1,
"* weak",
evidence),
evidence = ifelse(p_value < 0.05,
"** moderate",
evidence),
evidence = ifelse(p_value < 0.01,
"*** strong",
evidence),
evidence = ifelse(p_value < 0.001,
"**** very strong",
evidence),
p_value = ifelse(p_value < 0.001,
"< 0.001",
p_value)) %>%
print()## deltaAIC p_value evidence
## 1 -17.4 < 0.001 **** very strongresults_table = fill.results.table(results_table,
response_variable,
patch_type_i,
model_stats_full,
model_stats_fixed)Evenness
response_variable = "evenness_pielou"plot.patches.points(ds_patches,
patch_type_i,
response_variable)
Click for boxplots instead of means
plot.patches.boxplots(patch_type_i,
response_variable)
save_results_in_table = TRUE
Filter
filtered_data = ds_patches %>%
filter(
metaecosystem == "no",
time_point >= first_time_point_model,
time_point <= last_time_point_model,
!is.na(!!sym(response_variable))
)Plot filtered data
plot.patches.points(filtered_data,
patch_type_i,
response_variable)
Analysis
null_model = lmer(
get(response_variable) ~
day +
(day | culture_ID),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = "Nelder_Mead")
)patch_size_ml and
patch_size_ml : day)
full_model = lmer(
get(response_variable) ~
day +
patch_size_ml +
patch_size_ml : day +
(day | culture_ID),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = "Nelder_Mead")
)Click for model output
print(summary(full_model), digits = 1)## Linear mixed model fit by maximum likelihood ['lmerMod']
## Formula: get(response_variable) ~ day + patch_size_ml + patch_size_ml:day +
## (day | culture_ID)
## Data: filtered_data
## Control: lmerControl(optimizer = "Nelder_Mead")
##
## AIC BIC logLik deviance df.resid
## -38.1 -19.7 27.1 -54.1 66
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.6 -0.5 0.1 0.5 2.9
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## culture_ID (Intercept) 5e-02 0.22
## day 3e-04 0.02 -1.00
## Residual 2e-02 0.14
## Number of obs: 74, groups: culture_ID, 14
##
## Fixed effects:
## Estimate Std. Error t value
## (Intercept) 1e+00 2e-01 7
## day -4e-02 1e-02 -4
## patch_size_ml -1e-02 6e-03 -2
## day:patch_size_ml 1e-03 4e-04 3
##
## Correlation of Fixed Effects:
## (Intr) day ptch__
## day -0.963
## patch_sz_ml -0.897 0.864
## dy:ptch_sz_ 0.863 -0.896 -0.965
## optimizer (Nelder_Mead) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')#Create resid vs fitted
res_vs_fit = filtered_data %>%
mutate(predicted = fitted(full_model),
residuals = resid(full_model)) %>%
plot_ly(x = ~predicted,
y = ~residuals,
type = "scatter",
mode = "markers",
marker = list(size = 5, color = "#4C78A8"),
text = paste(" ID: ", filtered_data$culture_ID, "<br>",
"Day: ", filtered_data$day, "<br>",
"Patch Type: ", filtered_data$patch_type, "<br>",
"Biomass density: ", round(filtered_data$bioarea_mm2_per_ml, digits = 2), "<br>",
"Species richness: ", filtered_data$species_richness, "<br>"),
hoverinfo = "text") %>%
plotly::layout(
title = "Residuals vs. Fitted Values",
xaxis = list(title = "Fitted Values"),
yaxis = list(title = "Residuals")
)Click for residual plots
res_vs_fitqqnorm(resid(full_model))model_stats_full = compute.model.stats(full_model,
null_model,
"mixed_model")
model_stats_full %>%
mutate(deltaAIC = round(deltaAIC, digits = 1),
p_value = round(p_value, digits = 3),
R2 = NULL,
evidence = "",
evidence = ifelse(p_value > 0.1,
"none",
evidence),
evidence = ifelse(p_value < 0.1,
"* weak",
evidence),
evidence = ifelse(p_value < 0.05,
"** moderate",
evidence),
evidence = ifelse(p_value < 0.01,
"*** strong",
evidence),
evidence = ifelse(p_value < 0.001,
"**** very strong",
evidence),
p_value = ifelse(p_value < 0.001,
"< 0.001",
p_value)) %>%
print()## deltaAIC p_value evidence
## 1 -11.6 < 0.001 **** very strong
patch_size_ml)
reduced_model = lmer(
get(response_variable) ~
day +
patch_size_ml +
(day | culture_ID),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = "Nelder_Mead")
)Click for model output
print(summary(reduced_model), digits = 1)## Linear mixed model fit by maximum likelihood ['lmerMod']
## Formula: get(response_variable) ~ day + patch_size_ml + (day | culture_ID)
## Data: filtered_data
## Control: lmerControl(optimizer = "Nelder_Mead")
##
## AIC BIC logLik deviance df.resid
## -31.7 -15.6 22.9 -45.7 67
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.6 -0.6 0.2 0.5 2.9
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## culture_ID (Intercept) 1e-01 0.33
## day 6e-04 0.02 -1.00
## Residual 2e-02 0.14
## Number of obs: 74, groups: culture_ID, 14
##
## Fixed effects:
## Estimate Std. Error t value
## (Intercept) 0.668 0.107 6
## day -0.008 0.007 -1
## patch_size_ml 0.006 0.002 4
##
## Correlation of Fixed Effects:
## (Intr) day
## day -0.905
## patch_sz_ml -0.381 -0.006
## optimizer (Nelder_Mead) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')#Create resid vs fitted
res_vs_fit = filtered_data %>%
mutate(predicted = fitted(reduced_model),
residuals = resid(reduced_model)) %>%
plot_ly(x = ~predicted,
y = ~residuals,
type = "scatter",
mode = "markers",
marker = list(size = 5, color = "#4C78A8"),
text = paste(" ID: ", filtered_data$culture_ID, "<br>",
"Day: ", filtered_data$day, "<br>",
"Patch Type: ", filtered_data$patch_type, "<br>",
"Biomass density: ", round(filtered_data$bioarea_mm2_per_ml, digits = 2), "<br>",
"Species richness: ", filtered_data$species_richness, "<br>"),
hoverinfo = "text") %>%
plotly::layout(
title = "Residuals vs. Fitted Values",
xaxis = list(title = "Fitted Values"),
yaxis = list(title = "Residuals")
)Click for residual plots
res_vs_fitqqnorm(resid(reduced_model))model_stats_fixed = compute.model.stats(reduced_model,
null_model,
"mixed_model")
model_stats_fixed %>%
mutate(deltaAIC = round(deltaAIC, digits = 1),
p_value = round(p_value, digits = 3),
R2 = NULL,
evidence = "",
evidence = ifelse(p_value > 0.1,
"none",
evidence),
evidence = ifelse(p_value < 0.1,
"* weak",
evidence),
evidence = ifelse(p_value < 0.05,
"** moderate",
evidence),
evidence = ifelse(p_value < 0.01,
"*** strong",
evidence),
evidence = ifelse(p_value < 0.001,
"**** very strong",
evidence),
p_value = ifelse(p_value < 0.001,
"< 0.001",
p_value)) %>%
print()## deltaAIC p_value evidence
## 1 -5.2 0.007 *** strongresults_table = fill.results.table(results_table,
response_variable,
patch_type_i,
model_stats_full,
model_stats_fixed)Median Size
response_variable = "median_body_area_µm2"plot.patches.points(ds_patches,
patch_type_i,
response_variable)
Click for boxplots instead of means
plot.patches.boxplots(patch_type_i,
response_variable)
save_results_in_table = TRUE
Filter
filtered_data = ds_patches %>%
filter(
metaecosystem == "no",
time_point >= first_time_point_model,
time_point <= last_time_point_model,
!is.na(!!sym(response_variable))
)Plot filtered data
plot.patches.points(filtered_data,
patch_type_i,
response_variable)
Analysis
null_model = lmer(
get(response_variable) ~
day +
(day | culture_ID),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = "Nelder_Mead")
)patch_size_ml and
patch_size_ml : day)
full_model = lmer(
get(response_variable) ~
day +
patch_size_ml +
patch_size_ml : day +
(day | culture_ID),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = "Nelder_Mead")
)Click for model output
print(summary(full_model), digits = 1)## Linear mixed model fit by maximum likelihood ['lmerMod']
## Formula: get(response_variable) ~ day + patch_size_ml + patch_size_ml:day +
## (day | culture_ID)
## Data: filtered_data
## Control: lmerControl(optimizer = "Nelder_Mead")
##
## AIC BIC logLik deviance df.resid
## 1286.8 1305.6 -635.4 1270.8 70
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.9 -0.5 0.0 0.5 3.0
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## culture_ID (Intercept) 2e+05 402
## day 4e+00 2 -1.00
## Residual 6e+05 776
## Number of obs: 78, groups: culture_ID, 14
##
## Fixed effects:
## Estimate Std. Error t value
## (Intercept) 1985 620 3
## day 80 32 2
## patch_size_ml 41 23 2
## day:patch_size_ml -2 1 -2
##
## Correlation of Fixed Effects:
## (Intr) day ptch__
## day -0.872
## patch_sz_ml -0.902 0.781
## dy:ptch_sz_ 0.803 -0.914 -0.870
## optimizer (Nelder_Mead) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')#Create resid vs fitted
res_vs_fit = filtered_data %>%
mutate(predicted = fitted(full_model),
residuals = resid(full_model)) %>%
plot_ly(x = ~predicted,
y = ~residuals,
type = "scatter",
mode = "markers",
marker = list(size = 5, color = "#4C78A8"),
text = paste(" ID: ", filtered_data$culture_ID, "<br>",
"Day: ", filtered_data$day, "<br>",
"Patch Type: ", filtered_data$patch_type, "<br>",
"Biomass density: ", round(filtered_data$bioarea_mm2_per_ml, digits = 2), "<br>",
"Species richness: ", filtered_data$species_richness, "<br>"),
hoverinfo = "text") %>%
plotly::layout(
title = "Residuals vs. Fitted Values",
xaxis = list(title = "Fitted Values"),
yaxis = list(title = "Residuals")
)Click for residual plots
res_vs_fitqqnorm(resid(full_model))model_stats_full = compute.model.stats(full_model,
null_model,
"mixed_model")
model_stats_full %>%
mutate(deltaAIC = round(deltaAIC, digits = 1),
p_value = round(p_value, digits = 3),
R2 = NULL,
evidence = "",
evidence = ifelse(p_value > 0.1,
"none",
evidence),
evidence = ifelse(p_value < 0.1,
"* weak",
evidence),
evidence = ifelse(p_value < 0.05,
"** moderate",
evidence),
evidence = ifelse(p_value < 0.01,
"*** strong",
evidence),
evidence = ifelse(p_value < 0.001,
"**** very strong",
evidence),
p_value = ifelse(p_value < 0.001,
"< 0.001",
p_value)) %>%
print()## deltaAIC p_value evidence
## 1 0 0.133 none
patch_size_ml)
reduced_model = lmer(
get(response_variable) ~
day +
patch_size_ml +
(day | culture_ID),
data = filtered_data,
REML = FALSE,
control = lmerControl(optimizer = "Nelder_Mead")
)Click for model output
print(summary(reduced_model), digits = 1)## Linear mixed model fit by maximum likelihood ['lmerMod']
## Formula: get(response_variable) ~ day + patch_size_ml + (day | culture_ID)
## Data: filtered_data
## Control: lmerControl(optimizer = "Nelder_Mead")
##
## AIC BIC logLik deviance df.resid
## 1288.8 1305.3 -637.4 1274.8 71
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.02 -0.31 0.07 0.49 2.91
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## culture_ID (Intercept) 2e+05 467
## day 2e+02 14 -0.59
## Residual 6e+05 790
## Number of obs: 78, groups: culture_ID, 14
##
## Fixed effects:
## Estimate Std. Error t value
## (Intercept) 3e+03 4e+02 7.8
## day 2e+01 1e+01 1.5
## patch_size_ml 9e-01 1e+01 0.1
##
## Correlation of Fixed Effects:
## (Intr) day
## day -0.586
## patch_sz_ml -0.684 -0.072#Create resid vs fitted
res_vs_fit = filtered_data %>%
mutate(predicted = fitted(reduced_model),
residuals = resid(reduced_model)) %>%
plot_ly(x = ~predicted,
y = ~residuals,
type = "scatter",
mode = "markers",
marker = list(size = 5, color = "#4C78A8"),
text = paste(" ID: ", filtered_data$culture_ID, "<br>",
"Day: ", filtered_data$day, "<br>",
"Patch Type: ", filtered_data$patch_type, "<br>",
"Biomass density: ", round(filtered_data$bioarea_mm2_per_ml, digits = 2), "<br>",
"Species richness: ", filtered_data$species_richness, "<br>"),
hoverinfo = "text") %>%
plotly::layout(
title = "Residuals vs. Fitted Values",
xaxis = list(title = "Fitted Values"),
yaxis = list(title = "Residuals")
)Click for residual plots
res_vs_fitqqnorm(resid(reduced_model))model_stats_fixed = compute.model.stats(reduced_model,
null_model,
"mixed_model")
model_stats_fixed %>%
mutate(deltaAIC = round(deltaAIC, digits = 1),
p_value = round(p_value, digits = 3),
R2 = NULL,
evidence = "",
evidence = ifelse(p_value > 0.1,
"none",
evidence),
evidence = ifelse(p_value < 0.1,
"* weak",
evidence),
evidence = ifelse(p_value < 0.05,
"** moderate",
evidence),
evidence = ifelse(p_value < 0.01,
"*** strong",
evidence),
evidence = ifelse(p_value < 0.001,
"**** very strong",
evidence),
p_value = ifelse(p_value < 0.001,
"< 0.001",
p_value)) %>%
print()## deltaAIC p_value evidence
## 1 2 0.948 noneresults_table = fill.results.table(results_table,
response_variable,
patch_type_i,
model_stats_full,
model_stats_fixed)Populations
for(patch_type_i in patch_type_i){
print(patch_type_i)
p = ds_patches %>%
filter(patch_type == patch_type_i) %>%
group_by(day) %>%
summarise(
Ble = mean(Ble_indiv_per_ml_dominance, na.rm = TRUE),
# Ble_se = sd(Ble_indiv_per_ml_dominance, na.rm = TRUE) / sqrt(n()),
# Ble_ci = qt(c(0.025, 0.975), df = n() - 1) * Ble_se,
Cep = mean(Cep_indiv_per_ml_dominance, na.rm = TRUE),
Col = mean(Col_indiv_per_ml_dominance, na.rm = TRUE),
Eup = mean(Eup_indiv_per_ml_dominance, na.rm = TRUE),
Lox = mean(Lox_indiv_per_ml_dominance, na.rm = TRUE),
Pau = mean(Pau_indiv_per_ml_dominance, na.rm = TRUE),
Pca = mean(Pca_indiv_per_ml_dominance, na.rm = TRUE),
Spi = mean(Spi_indiv_per_ml_dominance, na.rm = TRUE),
Spi_te = mean(Spi_te_indiv_per_ml_dominance, na.rm = TRUE),
Tet = mean(Tet_indiv_per_ml_dominance, na.rm = TRUE)
) %>%
pivot_longer(Ble:Tet, names_to = "species", values_to = "species_indiv_per_ml") %>%
ggplot(aes(
x = day,
y = species_indiv_per_ml,
group = interaction(day, species),
color = species
)) +
geom_point(position = position_dodge(dodging),
size = treatment_points_size) +
geom_line(
aes(group = species),
position = position_dodge(dodging),
linewidth = treatment_lines_linewidth) +
labs(x = axis_names %>%
filter(variable == "day") %>%
pull(axis_name),
y = axis_names %>%
filter(variable == "dominance") %>%
pull(axis_name)) +
coord_cartesian(ylim = c(0, 100))
print(p)
}## [1] "Large connected to large"
## [1] "Large connected to small"
## [1] "Large isolated"
Results
Meta-ecosystems
# Construct plots
response_variable_list = NULL
n_of_plots = 3
response_variable_list[[1]] = "mean_shannon"
response_variable_list[[2]] = "bray_curtis"
response_variable_list[[3]] = "metaecosystem_richness"
metaecosystem_type_i = c("Medium-Medium meta-ecosystem",
"Medium-Medium isolated",
"Small-Large meta-ecosystem",
"Small-Large isolated")
legend_row_n_input = 2
p = NULL
for (i in 1: n_of_plots) {
p[[i]] = plot.metaecos.points(ds_metaecosystems,
metaecosystem_type_i,
response_variable_list[[i]],
legend_row_n_input) +
theme(plot.margin = unit(c(ggarrange_margin_left,
ggarrange_margin_right,
ggarrange_margin_bottom,
ggarrange_margin_left),
"cm"))
}# Combine plots
p_combined = ggarrange(
p[[1]] +
rremove("xlab") +
theme(axis.text.x = element_blank(),
axis.ticks.x = element_blank()) +
font("legend.text", size = size_legend) +
font("ylab", size = size_y_axis),
p[[2]] +
rremove("xlab") +
theme(axis.text.x = element_blank(),
axis.ticks.x = element_blank()) +
font("legend.text", size = size_legend) +
font("ylab", size = size_y_axis),
p[[3]] +
font("legend.text", size = size_legend) +
font("xlab", size = size_y_axis) +
font("ylab", size = size_y_axis) +
scale_x_continuous(breaks = unique(ds_metaecosystems$day)),
heights = c(0.8,0.8,1),
nrow = 3,
common.legend = TRUE,
align = "v",
labels = c("(a)", "(b)", "(c)"),
label.x = 0.1,
label.y = 0.8
)# Show combined plots
p_combined
# Save combined plots
png(
file = here("results", "figures", disturbance_global_input, "paper", "metaecosystems_diversity.png"),
width = paper_width,
height = paper_height,
units = paper_units,
res = paper_res
)
p_combined
dev.off()# Construct function to create empty plots
plot.empty = function(y_min,
y_max){
ds_metaecosystems %>%
filter(metaecosystem_type %in% metaecosystem_type_i,
!is.na(!!sym(response_variable))) %>%
ggplot(
aes(
x = day,
y = get(response_variable),
group = interaction(day, metaecosystem_type),
color = metaecosystem_type,
linetype = metaecosystem_type
)
) +
geom_point(
stat = "summary",
fun = "mean",
position = position_dodge(dodging),
size = presentation_treatment_points_size
) +
geom_line(
stat = "summary",
fun = "mean",
aes(group = metaecosystem_type),
position = position_dodge(dodging),
linewidth = presentation_treatment_linewidth
) +
xlim(x_min, x_max) +
ylim(y_min, y_max) +
labs(x = axis_names$axis_name[axis_names$variable == "day"],
y = axis_names$axis_name[axis_names$variable == response_variable],
color = "") +
geom_vline(
xintercept = resource_flow_days,
linetype = resource_flow_line_type,
color = resource_flow_line_colour,
linewidth = resource_flow_line_width
) +
theme_bw() +
theme(
panel.grid.major = element_blank(),
panel.grid.minor = element_blank(),
legend.position = legend_position,
legend.key.width = unit(legend_width_cm, "cm")
) +
guides(color = guide_legend(title = NULL,
nrow = 3),
linetype = guide_legend(title = NULL,
nrow = 3)) +
guides(color = "none",
linetype = "none")
}# Construct empty alpha & beta plots
metaecosystem_type_i = ""
x_min = -0.2
x_max = 30
response_variable = "mean_shannon"
y_min_alpha = 0
y_max_alpha = 2.5
alpha_plots = NULL
alpha_plots[[1]] = plot.empty(y_min_alpha,
y_max_alpha)
response_variable = "bray_curtis"
y_min_beta = 0
y_max_beta = 1
beta_plots = NULL
beta_plots[[1]] = plot.empty(y_min_beta,
y_max_beta)# Construct alpha & beta plots
metaecosystem_type_i = c("Medium-Medium meta-ecosystem",
"Medium-Medium isolated",
"Small-Large meta-ecosystem",
"Small-Large isolated")
legend_row_n_input = 2
response_variable = "mean_shannon"
for (i in 1:length(metaecosystem_type_i)) {
alpha_plots[[i+1]] = plot.metaecos.points(ds_metaecosystems,
metaecosystem_type_i[1:i],
response_variable,
legend_row_n_input) +
theme(plot.margin = unit(c(ggarrange_margin_left,
ggarrange_margin_right,
ggarrange_margin_bottom,
ggarrange_margin_left),
"cm"),
legend.position = "none") +
xlim(x_min, x_max) +
ylim(y_min_alpha, y_max_alpha)
}
response_variable = "bray_curtis"
for (i in 1:length(metaecosystem_type_i)) {
beta_plots[[i+1]] = plot.metaecos.points(ds_metaecosystems,
metaecosystem_type_i[1:i],
response_variable,
legend_row_n_input) +
theme(plot.margin = unit(c(ggarrange_margin_left,
ggarrange_margin_right,
ggarrange_margin_bottom,
ggarrange_margin_left),
"cm"),
legend.position = "none") +
xlim(x_min, x_max) +
ylim(y_min_beta, y_max_beta)
}# Combine plots
p_combined = NULL
for(i in 1:5){
p_combined[[i]] = ggarrange(
alpha_plots[[i]] +
rremove("xlab") +
theme(axis.text.x = element_blank(),
axis.ticks.x = element_blank()) +
font("legend.text", size = size_legend) +
font("ylab", size = size_y_axis),
beta_plots[[i]] +
font("legend.text", size = size_legend) +
font("xlab", size = size_y_axis) +
font("ylab", size = size_y_axis) +
scale_x_continuous(breaks = unique(ds_patches$day)),
heights = c(0.8, 0.8, 1),
nrow = 2,
align = "v",
label.x = 0.1,
label.y = 0.8)
}# Save combined plots
for(i in 1:5){
png(file = here("results", "figures", disturbance_global_input, "presentations", paste0(i, "_metaecos_diversity.png")),
width = paper_width,
height = paper_height,
units = paper_units,
res = paper_res)
print(p_combined[[i]])
dev.off()
}Isolated patches
# Construct plots
response_variable_list = NULL
response_variable_list[[1]] = "bioarea_mm2_per_ml"
response_variable_list[[2]] = "shannon"
patch_type_i = c("Small isolated",
"Medium isolated",
"Large isolated")
legend_row_n_input = 2
p = NULL
for (i in 1:2) {
p[[i]] = plot.patches.points(ds_patches,
patch_type_i,
response_variable_list[[i]],
legend_row_n_input) +
theme(plot.margin = unit(c(ggarrange_margin_left,
ggarrange_margin_right,
ggarrange_margin_bottom,
ggarrange_margin_left),
"cm"))
}## Warning in qt(conf.interval/2 + 0.5, datac$N - 1): NaNs produced# Combine plots
p_combined = ggarrange(
p[[1]] +
rremove("xlab") +
theme(axis.text.x = element_blank(),
axis.ticks.x = element_blank()) +
font("legend.text", size = size_legend) +
font("ylab", size = size_y_axis),
p[[2]] +
font("legend.text", size = size_legend) +
font("xlab", size = size_y_axis) +
font("ylab", size = size_y_axis) +
scale_x_continuous(breaks = unique(ds_patches$day)),
heights = c(0.8, 0.8, 1),
nrow = 2,
align = "v",
labels = c("(a)", "(b)"),
label.x = 0.1,
label.y = 0.8,
common.legend = TRUE
)# Show combined plots
p_combined
# Save combined plots
png(
file = here("results", "figures", disturbance_global_input, "paper", "patches_biomass.png"),
width = paper_width,
height = paper_height,
units = paper_units,
res = paper_res
)
p_combined
dev.off()Evaporation
Evaporation when microwaving 15 falcon tubes at the time
evaporation.test = read.csv(here("data", "evaporation_test","evaporation_test_right.csv"), header = TRUE)
evaporation.test %>%
ggplot(aes (x = as.character(water_pipetted),
y = weight_water_evaporated,
group = interaction(water_pipetted, as.character(rack)),
fill = as.character(rack))) +
geom_boxplot(width = boxplot_width) +
labs(x = "Water volume (ml)" ,
y = "Evaporation (g)",
fill = "Rack replicate")
Evaporation when microwaving 5 tubes with 10 filled or empty tubes
evaporation.test = read.csv(here("data", "evaporation_test", "evaporation_test_fill_nofill.csv"), header = TRUE)
evaporation.test %>%
ggplot(aes (x = all_tubes_water,
y = weight_water_evaporated)) +
geom_boxplot(width = boxplot_width) +
labs(x = "Water in the other 10 tubes" ,
y = "Evaporation (g)",
caption = "When all tubes were filled, they were filled with 6.75 ml of deionised water.")
Analysis scripts
Video analysis
rm(list = ls())
setwd("/media/mendel-himself/ID_061_Ema2/PatchSizePilot/training")
# load package
# library(devtools)
# install_github("femoerman/bemovi", ref="master")
library(bemovi)
library(parallel)
library(doParallel)
library(foreach)
#Define memory to be allocated
memory.alloc <- 240000 #-needs_to_be_specified
memory.per.identifier <- 40000 #-needs_to_be_specified
memory.per.linker <- 5000 #-needs_to_be_specified
memory.per.overlay <- 60000 #-needs_to_be_specified
# UNIX
# set paths to tools folder and particle linker
tools.path <-
"/home/mendel-himself/bemovi_tools/" #-needs_to_be_specified
to.particlelinker <- tools.path
# directories and file names
to.data <- paste(getwd(), "/", sep = "")
video.description.folder <- "0_video_description/"
video.description.file <- "video_description.txt"
raw.video.folder <- "1_raw/"
raw.avi.folder <- "1a_raw_avi/"
metadata.folder <- "1b_raw_meta/"
particle.data.folder <- "2_particle_data/"
trajectory.data.folder <- "3_trajectory_data/"
temp.overlay.folder <- "4a_temp_overlays/"
overlay.folder <- "4_overlays/"
merged.data.folder <- "5_merged_data/"
ijmacs.folder <- "ijmacs/"
######################################################################
# VIDEO PARAMETERS
# video frame rate (in frames per second)
fps <- 25 #-needs_to_be_specified
# length of video (in frames)
total_frames <- 125 #-needs_to_be_specified
#Dimensions of the videos in pixels
width = 2048 #-needs_to_be_specified
height = 2048 #-needs_to_be_specified
# measured volume (in microliter) #-needs_to_be_specified
measured_volume <-
34.4 # for Leica M205 C with 1.6 fold magnification, sample height 0.5 mm and Hamamatsu Orca Flash 4
#measured_volume <- 14.9 # for Nikon SMZ1500 with 2 fold magnification, sample height 0.5 mm and Canon 5D Mark III
# size of a pixel (in micrometer) #-needs_to_be_specified
pixel_to_scale <-
4.05 # for Leica M205 C with 1.6 fold magnification, sample height 0.5 mm and Hamamatsu Orca Flash 4
#pixel_to_scale <- 3.79 # for Nikon SMZ1500 with 2 fold magnification, sample height 0.5 mm and Canon 5D Mark III
# specify video file format (one of "avi","cxd","mov","tiff")
# bemovi only works with avi and cxd. other formats are reformated to avi below
video.format <- "cxd" #-needs_to_be_specified
# setup
difference.lag <- 10
thresholds <- c(13, 255) # don't change the second value
# thresholds <- c(50,255)
# MORE PARAMETERS (USUALLY NOT CHANGED)
######################################################################
# FILTERING PARAMETERS
# optimized for Perfex Pro 10 stereomicrocope with Perfex SC38800 (IDS UI-3880LE-M-GL) camera
# tested stereomicroscopes: Perfex Pro 10, Nikon SMZ1500, Leica M205 C
# tested cameras: Perfex SC38800, Canon 5D Mark III, Hamamatsu Orca Flash 4
# tested species: Tet, Col, Pau, Pca, Eug, Chi, Ble, Ceph, Lox, Spi
# min and max size: area in pixels
particle_min_size <- 10
particle_max_size <- 1000
# number of adjacent frames to be considered for linking particles
trajectory_link_range <- 3
# maximum distance a particle can move between two frames
trajectory_displacement <- 16
# these values are in the units defined by the parameters above: fps (seconds), measured_volume (microliters) and pixel_to_scale (micometers)
filter_min_net_disp <- 25
filter_min_duration <- 1
filter_detection_freq <- 0.1
filter_median_step_length <- 3
######################################################################
# VIDEO ANALYSIS
#Check if all tools are installed, and if not install them
check_tools_folder(tools.path)
#Ensure computer has permission to run bftools
system(paste0("chmod a+x ", tools.path, "bftools/bf.sh"))
system(paste0("chmod a+x ", tools.path, "bftools/bfconvert"))
system(paste0("chmod a+x ", tools.path, "bftools/showinf"))
# Convert files to compressed avi (takes approx. 2.25 minutes per video)
convert_to_avi(
to.data,
raw.video.folder,
raw.avi.folder,
metadata.folder,
tools.path,
fps,
video.format
)
# TESTING
# check file format and naming
# check_video_file_names(to.data,raw.avi.folder,video.description.folder,video.description.file)
# check whether the thresholds make sense (set "dark backgroud" and "red")
#check_threshold_values(to.data, raw.avi.folder, ijmacs.folder, 2, difference.lag, thresholds, tools.path, memory.alloc)
# identify particles
locate_and_measure_particles(
to.data,
raw.avi.folder,
particle.data.folder,
difference.lag,
min_size = particle_min_size,
max_size = particle_max_size,
thresholds = thresholds,
tools.path,
memory = memory.alloc,
memory.per.identifier = memory.per.identifier,
max.cores = detectCores() - 1
)
# link the particles
link_particles(
to.data,
particle.data.folder,
trajectory.data.folder,
linkrange = trajectory_link_range,
disp = trajectory_displacement,
start_vid = 1,
memory = memory.alloc,
memory_per_linkerProcess = memory.per.linker,
raw.avi.folder,
max.cores = detectCores() - 1,
max_time = 1
)
# merge info from description file and data
merge_data(
to.data,
particle.data.folder,
trajectory.data.folder,
video.description.folder,
video.description.file,
merged.data.folder
)
# load the merged data
load(paste0(to.data, merged.data.folder, "Master.RData"))
# filter data: minimum net displacement, their duration, the detection frequency and the median step length
trajectory.data.filtered <-
filter_data(
trajectory.data,
filter_min_net_disp,
filter_min_duration,
filter_detection_freq,
filter_median_step_length
)
# summarize trajectory data to individual-based data
morph_mvt <-
summarize_trajectories(
trajectory.data.filtered,
calculate.median = F,
write = T,
to.data,
merged.data.folder
)
# get sample level info
summarize_populations(
trajectory.data.filtered,
morph_mvt,
write = T,
to.data,
merged.data.folder,
video.description.folder,
video.description.file,
total_frames
)
# create overlays for validation
create.subtitle.overlays(
to.data,
traj.data = trajectory.data.filtered,
raw.video.folder,
raw.avi.folder,
temp.overlay.folder,
overlay.folder,
fps,
vid.length = total_frames / fps,
width,
height,
tools.path = tools.path,
overlay.type = "number",
video.format
)
# Create overlays (old method)
create_overlays(
traj.data = trajectory.data.filtered,
to.data = to.data,
merged.data.folder = merged.data.folder,
raw.video.folder = raw.avi.folder,
temp.overlay.folder = "4a_temp_overlays_old/",
overlay.folder = "4_overlays_old/",
width = width,
height = height,
difference.lag = difference.lag,
type = "traj",
predict_spec = F,
contrast.enhancement = 1,
IJ.path = "/home/mendel-himself/bemovi_tools",
memory = memory.alloc,
max.cores = detectCores() - 1,
memory.per.overlay = memory.per.overlay
)
########################################################################
# some cleaning up
#system("rm -r 2_particle_data")
#system("rm -r 3_trajectory_data")
#system("rm -r 4a_temp_overlays")
system("rm -r ijmacs")
########################################################################Species identification
rm(list = ls())
#install.packages("e1071",dependencies = T)
#install.packages("devtools",dependencies = T)
#install_github("pennekampster/bemovi", ref="master")
#library(devtools)
library(bemovi)
library(e1071)
library("here")
library("tidyverse")
time_points_in_experiment = c("t0", "t1", "t2", "t3", "t4", "t5", "t6", "t7")
for (time_point in time_points_in_experiment) {
#Folder names and paths
video.description.folder = "0_video_description/"
video.description.file = "video_description.txt"
merged.data.folder = "5_merged_data/"
monocultures_folder_path = here("biomass_analysis", "training", "")
mixed_cultures_folder_path = here("biomass_analysis", time_point, "")
#Parameters used in the video analysis script
fps = 25
nsv = 5
measured_volume = 34.4
pixel_to_scale = 4.05
filter_min_net_disp = 25
filter_min_duration = 1
filter_detection_freq = 0.1
filter_median_step_length = 3
#Load master dataset of mono-cultures
load(paste0(
monocultures_folder_path,
merged.data.folder,
"Master.RData"
))
trajectory.data_monocultures = trajectory.data
rm(trajectory.data)
#Filter the master data of mono-cultures using the same parameters as in the videos analysis script
trajectory.data_monocultures.filtered = filter_data(
trajectory.data_monocultures,
filter_min_net_disp,
filter_min_duration,
filter_detection_freq,
filter_median_step_length
)
#Go from trajectory data to individuals data
morph_mvt = summarize_trajectories(
data = trajectory.data_monocultures.filtered,
calculate.median = FALSE,
write = TRUE,
to.data = monocultures_folder_path,
merged.data.folder = merged.data.folder
) %>%
mutate(comment = NULL)
training_data = morph_mvt[complete.cases(morph_mvt), ]
svm1 = svm(
factor(species) ~
mean_grey +
sd_grey +
mean_area +
sd_area +
mean_perimeter +
mean_turning +
sd_turning +
sd_perimeter +
mean_major +
sd_major +
mean_minor +
sd_minor +
mean_ar +
sd_ar +
duration +
max_net +
net_disp +
net_speed +
gross_disp +
max_step +
min_step +
sd_step +
sd_gross_speed +
max_gross_speed +
min_gross_speed ,
data = training_data,
probability = T,
na.action = na.pass
)
confusion.matrix = table(svm1$fitted, training_data$species)
confusion.matrix.nd = confusion.matrix
diag(confusion.matrix.nd) = 0
svm1$confusion = cbind(confusion.matrix,
class.error = rowSums(confusion.matrix.nd) / rowSums(confusion.matrix))
print(paste("Confusion matrix of time point", time_point))
print(svm1$confusion)
species.names = unique(trajectory.data_monocultures$species)
load(paste0(
mixed_cultures_folder_path,
merged.data.folder,
"Master.RData"
))
trajectory.data_mixed = trajectory.data
rm(trajectory.data)
trajectory.data_mixed.filtered = filter_data(
trajectory.data_mixed,
filter_min_net_disp,
filter_min_duration,
filter_detection_freq,
filter_median_step_length
)
morph_mvt = summarize_trajectories(
data = trajectory.data_mixed.filtered,
calculate.median = FALSE,
write = TRUE,
to.data = mixed_cultures_folder_path,
merged.data.folder = merged.data.folder
)[, which(colnames(morph_mvt) != "Col_manual")] %>%
mutate(comment = NULL)
data.to.predict = morph_mvt[complete.cases(morph_mvt),]
p.id = predict(object = svm1,
data.to.predict,
type = "response")
data.to.predict$predicted_species = as.character(p.id)
pop.data = summarize_populations(
traj.data = trajectory.data_monocultures.filtered,
sum.data = morph_mvt,
write = TRUE,
to.data = mixed_cultures_folder_path,
merged.data.folder = merged.data.folder,
video.description.folder = video.description.folder,
video.description.file = video.description.file,
total_frame = fps * nsv
)
species.density = function(sample_output,
indiv_predicted,
species_names,
total_frames,
mv = measured_volume) {
samples = unique(indiv_predicted$file)
sp.dens = matrix(0,
nrow(sample_output),
length(species_names))
colnames(sp.dens) = species_names
for (i in 1:length(samples)) {
indiv = subset(indiv_predicted, file == samples[i])
spec = unique(indiv$predicted_species)
for (j in 1:length(spec)) {
all.indiv.sp = subset(indiv,
predicted_species == spec[j])
dens = sum(all.indiv.sp$N_frames) / total_frames / mv
sp.dens[which(sample_output$file == as.character(samples[i])), which(species_names == spec[j])] = dens
}
}
return(cbind(sample_output, sp.dens))
}
output = species.density(
pop.data,
data.to.predict,
species.names,
total_frames = fps * nsv,
mv = measured_volume
)
file_name = paste0("species_ID_", time_point, ".csv")
write.csv(output,
here("biomass_analysis", "species_ID_results", file_name))
rm(output)
}Other
Running time
## Time difference of 1.3 minsDisturbance input
Check that disturbance_global_input is what you set:
print(paste0("Disturbance = ", disturbance_global_input))## [1] "Disturbance = high"Change code using terminal
If you want to change a certain part of the code:
#Rmd script
cd /Users/ema/Documents/GitHub/PatchSize/r_files
sed -i '' 's/old_string/new_string/g' *.Rmd
#R script
cd /Users/ema/Documents/GitHub/PatchSize/r_files/functions
sed -i '' 's/old_string/new_string/g' *.RCode to give you back an object
dput()Crashed cultures
The only type of patch where all cultures crashed was small connected to small at high disturbance.